Overview

Dataset statistics

Number of variables82
Number of observations20263
Missing cells0
Missing cells (%)0.0%
Total size in memory12.7 MiB
Average record size in memory656.0 B

Variable types

Numeric82

Alerts

entropy_atomic_mass has 284 (1.4%) zeros Zeros
wtd_entropy_atomic_mass has 284 (1.4%) zeros Zeros
range_atomic_mass has 284 (1.4%) zeros Zeros
wtd_range_atomic_mass has 284 (1.4%) zeros Zeros
std_atomic_mass has 284 (1.4%) zeros Zeros
wtd_std_atomic_mass has 284 (1.4%) zeros Zeros
entropy_fie has 284 (1.4%) zeros Zeros
wtd_entropy_fie has 284 (1.4%) zeros Zeros
range_fie has 288 (1.4%) zeros Zeros
wtd_range_fie has 284 (1.4%) zeros Zeros
std_fie has 288 (1.4%) zeros Zeros
wtd_std_fie has 287 (1.4%) zeros Zeros
entropy_atomic_radius has 284 (1.4%) zeros Zeros
wtd_entropy_atomic_radius has 284 (1.4%) zeros Zeros
range_atomic_radius has 304 (1.5%) zeros Zeros
wtd_range_atomic_radius has 285 (1.4%) zeros Zeros
std_atomic_radius has 304 (1.5%) zeros Zeros
wtd_std_atomic_radius has 304 (1.5%) zeros Zeros
entropy_Density has 284 (1.4%) zeros Zeros
wtd_entropy_Density has 284 (1.4%) zeros Zeros
range_Density has 298 (1.5%) zeros Zeros
wtd_range_Density has 286 (1.4%) zeros Zeros
std_Density has 298 (1.5%) zeros Zeros
wtd_std_Density has 297 (1.5%) zeros Zeros
entropy_ElectronAffinity has 284 (1.4%) zeros Zeros
wtd_entropy_ElectronAffinity has 284 (1.4%) zeros Zeros
range_ElectronAffinity has 309 (1.5%) zeros Zeros
wtd_range_ElectronAffinity has 290 (1.4%) zeros Zeros
std_ElectronAffinity has 309 (1.5%) zeros Zeros
wtd_std_ElectronAffinity has 303 (1.5%) zeros Zeros
entropy_FusionHeat has 284 (1.4%) zeros Zeros
wtd_entropy_FusionHeat has 284 (1.4%) zeros Zeros
range_FusionHeat has 284 (1.4%) zeros Zeros
wtd_range_FusionHeat has 284 (1.4%) zeros Zeros
std_FusionHeat has 284 (1.4%) zeros Zeros
wtd_std_FusionHeat has 284 (1.4%) zeros Zeros
entropy_ThermalConductivity has 284 (1.4%) zeros Zeros
wtd_entropy_ThermalConductivity has 284 (1.4%) zeros Zeros
range_ThermalConductivity has 300 (1.5%) zeros Zeros
wtd_range_ThermalConductivity has 291 (1.4%) zeros Zeros
std_ThermalConductivity has 300 (1.5%) zeros Zeros
wtd_std_ThermalConductivity has 299 (1.5%) zeros Zeros
entropy_Valence has 284 (1.4%) zeros Zeros
wtd_entropy_Valence has 284 (1.4%) zeros Zeros
range_Valence has 1373 (6.8%) zeros Zeros
wtd_range_Valence has 375 (1.9%) zeros Zeros
std_Valence has 1373 (6.8%) zeros Zeros
wtd_std_Valence has 1244 (6.1%) zeros Zeros

Reproduction

Analysis started2022-04-26 15:37:22.885658
Analysis finished2022-04-26 15:37:23.512539
Duration0.63 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

number_of_elements
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.114790505
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:23.596159image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.450853092
Coefficient of variation (CV)0.3525946438
Kurtosis-0.6992266542
Mean4.114790505
Median Absolute Deviation (MAD)1
Skewness0.001900017213
Sum83378
Variance2.104974696
MonotonicityNot monotonic
2022-04-26T10:37:23.693220image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
55595
27.6%
44189
20.7%
33608
17.8%
23226
15.9%
62529
12.5%
7757
 
3.7%
1284
 
1.4%
861
 
0.3%
914
 
0.1%
ValueCountFrequency (%)
1284
 
1.4%
23226
15.9%
33608
17.8%
44189
20.7%
55595
27.6%
ValueCountFrequency (%)
914
 
0.1%
861
 
0.3%
7757
 
3.7%
62529
12.5%
55595
27.6%

mean_atomic_mass
Real number (ℝ≥0)

Distinct3175
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.53672222
Minimum6.941
Maximum208.9804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:23.808946image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.941
5-th percentile42.6052375
Q172.81695667
median85.09708
Q3100.351275
95-th percentile142.3767
Maximum208.9804
Range202.0394
Interquartile range (IQR)27.53431833

Descriptive statistics

Standard deviation29.58554342
Coefficient of variation (CV)0.3379786525
Kurtosis2.171848717
Mean87.53672222
Median Absolute Deviation (MAD)12.9576775
Skewness0.7812620677
Sum1773756.602
Variance875.3043796
MonotonicityNot monotonic
2022-04-26T10:37:23.970482image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.4445625705
 
3.5%
76.5177175356
 
1.8%
83.24476323
 
1.6%
74.23165267
 
1.3%
89.33718254
 
1.3%
88.936744167
 
0.8%
72.32465166
 
0.8%
88.9444675155
 
0.8%
79.171174150
 
0.7%
104.3656150
 
0.7%
Other values (3165)17570
86.7%
ValueCountFrequency (%)
6.9416
< 0.1%
8.8762
 
< 0.1%
9.0121824
< 0.1%
9.475851
 
< 0.1%
9.9115913
< 0.1%
ValueCountFrequency (%)
208.98047
 
< 0.1%
208.090221
0.1%
207.29
< 0.1%
206.85456671
 
< 0.1%
206.681856
 
< 0.1%

wtd_mean_atomic_mass
Real number (ℝ≥0)

Distinct14466
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.4377528
Minimum6.423452
Maximum208.9804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:24.103976image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum6.423452
5-th percentile36.60148188
Q151.99322954
median59.86882051
Q384.83758088
95-th percentile140.7620122
Maximum208.9804
Range202.556948
Interquartile range (IQR)32.84435134

Descriptive statistics

Standard deviation33.48258603
Coefficient of variation (CV)0.4622256315
Kurtosis3.002391201
Mean72.4377528
Median Absolute Deviation (MAD)11.91363718
Skewness1.548951721
Sum1467806.185
Variance1121.083567
MonotonicityNot monotonic
2022-04-26T10:37:24.224656image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51.24566538110
 
0.5%
59.224483
 
0.4%
56.8088170753
 
0.3%
15.30947
 
0.2%
97.04627544
 
0.2%
81.4567544
 
0.2%
76.63343
 
0.2%
49.7159366740
 
0.2%
59.344132
 
0.2%
56.4424922930
 
0.1%
Other values (14456)19737
97.4%
ValueCountFrequency (%)
6.4234521
 
< 0.1%
6.9416
< 0.1%
8.67741
 
< 0.1%
9.0121824
< 0.1%
9.3730675761
 
< 0.1%
ValueCountFrequency (%)
208.98047
< 0.1%
208.38693331
 
< 0.1%
208.357261
 
< 0.1%
208.3368061
 
< 0.1%
208.312751
 
< 0.1%

gmean_atomic_mass
Real number (ℝ≥0)

Distinct3175
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.21267572
Minimum5.320573171
Maximum208.9804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:24.355703image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum5.320573171
5-th percentile30.37060396
Q158.60028948
median66.36159243
Q377.73110311
95-th percentile135.2754631
Maximum208.9804
Range203.6598268
Interquartile range (IQR)19.13081363

Descriptive statistics

Standard deviation30.82304111
Coefficient of variation (CV)0.432830824
Kurtosis3.556790412
Mean71.21267572
Median Absolute Deviation (MAD)9.93831545
Skewness1.515375544
Sum1442982.448
Variance950.0598632
MonotonicityNot monotonic
2022-04-26T10:37:24.481117image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.35667247705
 
3.5%
59.31009613356
 
1.8%
59.50608142323
 
1.6%
60.51522055267
 
1.3%
70.56064655254
 
1.3%
70.35897547167
 
0.8%
58.63710174166
 
0.8%
66.36159243155
 
0.8%
72.74686486150
 
0.7%
59.99494331150
 
0.7%
Other values (3165)17570
86.7%
ValueCountFrequency (%)
5.3205731711
 
< 0.1%
6.5289880081
 
< 0.1%
6.9416
< 0.1%
7.5431370231
 
< 0.1%
7.7932802063
< 0.1%
ValueCountFrequency (%)
208.98047
 
< 0.1%
208.088295921
0.1%
207.29
< 0.1%
206.84589421
 
< 0.1%
206.66906836
 
< 0.1%

wtd_gmean_atomic_mass
Real number (ℝ≥0)

Distinct14466
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.92977539
Minimum1.960849114
Maximum208.9804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:24.618752image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.960849114
5-th percentile27.23944248
Q135.15963441
median38.53217986
Q372.37753562
95-th percentile136.4565396
Maximum208.9804
Range207.0195509
Interquartile range (IQR)37.21790121

Descriptive statistics

Standard deviation36.65533428
Coefficient of variation (CV)0.6327546417
Kurtosis3.074667394
Mean57.92977539
Median Absolute Deviation (MAD)8.76916094
Skewness1.744624579
Sum1173831.039
Variance1343.613531
MonotonicityNot monotonic
2022-04-26T10:37:24.736877image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.93526616110
 
0.5%
36.1261746583
 
0.4%
35.7734324253
 
0.3%
14.1625825247
 
0.2%
68.2296174844
 
0.2%
73.6759039444
 
0.2%
42.6054174743
 
0.2%
34.5123853240
 
0.2%
36.4969483932
 
0.2%
35.6558842730
 
0.1%
Other values (14456)19737
97.4%
ValueCountFrequency (%)
1.9608491141
< 0.1%
5.1088351381
< 0.1%
5.245675941
< 0.1%
5.3763122371
< 0.1%
5.4859860091
< 0.1%
ValueCountFrequency (%)
208.98047
< 0.1%
208.385241
 
< 0.1%
208.35552651
 
< 0.1%
208.33063391
 
< 0.1%
208.31096421
 
< 0.1%

entropy_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct3124
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.164416806
Minimum0
Maximum1.983797339
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:24.862543image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.533233536
Q10.960058441
median1.199540745
Q31.444537168
95-th percentile1.649722319
Maximum1.983797339
Range1.983797339
Interquartile range (IQR)0.484478727

Descriptive statistics

Standard deviation0.3692296418
Coefficient of variation (CV)0.3170940508
Kurtosis0.257781476
Mean1.164416806
Median Absolute Deviation (MAD)0.244996423
Skewness-0.7774232996
Sum23594.57774
Variance0.1363305284
MonotonicityNot monotonic
2022-04-26T10:37:24.984318image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.199540745705
 
3.5%
1.197273033356
 
1.8%
1.311510373323
 
1.6%
0284
 
1.4%
1.453747136267
 
1.3%
1.444537168254
 
1.3%
1.445824393167
 
0.8%
1.44461203166
 
0.8%
1.181795239155
 
0.8%
1.389953237150
 
0.7%
Other values (3114)17436
86.0%
ValueCountFrequency (%)
0284
1.4%
0.0343064243
 
< 0.1%
0.0531442716
 
0.1%
0.0593412133
 
< 0.1%
0.1421243652
 
< 0.1%
ValueCountFrequency (%)
1.9837973394
< 0.1%
1.9387088321
 
< 0.1%
1.9297564796
< 0.1%
1.8983792442
 
< 0.1%
1.8787567723
< 0.1%

wtd_entropy_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct14416
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.063735358
Minimum0
Maximum1.958203371
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:25.122949image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.292248491
Q10.759986454
median1.149467576
Q31.367618359
95-th percentile1.622198103
Maximum1.958203371
Range1.958203371
Interquartile range (IQR)0.6076319045

Descriptive statistics

Standard deviation0.4074091708
Coefficient of variation (CV)0.3829986168
Kurtosis-0.256286864
Mean1.063735358
Median Absolute Deviation (MAD)0.259569178
Skewness-0.6212528264
Sum21554.46957
Variance0.1659822325
MonotonicityNot monotonic
2022-04-26T10:37:25.245558image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
1.291888138110
 
0.5%
1.37205026983
 
0.4%
0.98187978453
 
0.3%
0.69143983147
 
0.2%
1.19859533744
 
0.2%
1.10818929344
 
0.2%
1.15864641143
 
0.2%
1.29078108340
 
0.2%
1.01063497132
 
0.2%
Other values (14406)19483
96.2%
ValueCountFrequency (%)
0284
1.4%
0.0002839421
 
< 0.1%
0.0004585981
 
< 0.1%
0.0005109691
 
< 0.1%
0.0006570231
 
< 0.1%
ValueCountFrequency (%)
1.9582033711
< 0.1%
1.9445779581
< 0.1%
1.9215520741
< 0.1%
1.9157516981
< 0.1%
1.9070437931
< 0.1%

range_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct1009
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.6965299
Minimum0
Maximum207.97246
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:25.429926image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.05853
Q178.1757095
median122.90607
Q3155.006
95-th percentile192.981
Maximum207.97246
Range207.97246
Interquartile range (IQR)76.8302905

Descriptive statistics

Standard deviation54.9179005
Coefficient of variation (CV)0.4746719763
Kurtosis-0.6846785423
Mean115.6965299
Median Absolute Deviation (MAD)41.22543
Skewness-0.3880924182
Sum2344358.786
Variance3015.975795
MonotonicityNot monotonic
2022-04-26T10:37:25.545152image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121.32762099
 
10.4%
192.9811943
 
9.6%
122.906071720
 
8.5%
128.2426674
 
3.3%
124.90825616
 
3.0%
188.3839615
 
3.0%
184.5906575
 
2.8%
141.2506461
 
2.3%
191.2006349
 
1.7%
134.3606326
 
1.6%
Other values (999)10885
53.7%
ValueCountFrequency (%)
0284
1.4%
1.054620
 
0.1%
1.19973
 
< 0.1%
1.2105310
 
< 0.1%
1.6823834
 
0.2%
ValueCountFrequency (%)
207.9724611
0.1%
206.192061
 
< 0.1%
202.039415
0.1%
200.2592
 
< 0.1%
198.1878181
 
< 0.1%

wtd_range_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct12133
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.97884891
Minimum0
Maximum205.58991
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:25.674808image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.03216
Q116.52187895
median26.2052775
Q338.08742389
95-th percentile83.62582927
Maximum205.58991
Range205.58991
Interquartile range (IQR)21.56554494

Descriptive statistics

Standard deviation27.18877466
Coefficient of variation (CV)0.8244306748
Kurtosis8.503215749
Mean32.97884891
Median Absolute Deviation (MAD)10.7829225
Skewness2.498981313
Sum668250.4155
Variance739.2294678
MonotonicityNot monotonic
2022-04-26T10:37:25.790498image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
36.95065714185
 
0.9%
12.51216923145
 
0.7%
50.245175121
 
0.6%
14.28831923110
 
0.5%
17.5626833395
 
0.5%
25.1921866794
 
0.5%
22.7486571475
 
0.4%
18.9594207762
 
0.3%
34.8331599353
 
0.3%
Other values (12123)19039
94.0%
ValueCountFrequency (%)
0284
1.4%
0.023221
 
< 0.1%
0.0436861
 
< 0.1%
0.074961
 
< 0.1%
0.0870689661
 
< 0.1%
ValueCountFrequency (%)
205.589911
< 0.1%
204.0419841
< 0.1%
203.979821
< 0.1%
202.83010581
< 0.1%
202.78729351
< 0.1%

std_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct3123
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.38145875
Minimum0
Maximum101.0197
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:25.912173image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.99625
Q132.89036869
median45.2565
Q359.63684023
95-th percentile73.45535667
Maximum101.0197
Range101.0197
Interquartile range (IQR)26.74647154

Descriptive statistics

Standard deviation20.07793122
Coefficient of variation (CV)0.4523945761
Kurtosis-0.4417193649
Mean44.38145875
Median Absolute Deviation (MAD)13.03313338
Skewness-0.3689453354
Sum899301.4987
Variance403.1233219
MonotonicityNot monotonic
2022-04-26T10:37:26.052830image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.82335412705
 
3.5%
44.28945853356
 
1.8%
67.23383471323
 
1.6%
0284
 
1.4%
39.44587456267
 
1.3%
46.91766658254
 
1.3%
46.48233522167
 
0.8%
40.05351182166
 
0.8%
51.96882779155
 
0.8%
50.42495724150
 
0.7%
Other values (3113)17436
86.0%
ValueCountFrequency (%)
0284
1.4%
0.527320
 
0.1%
0.599853
 
< 0.1%
0.60526510
 
< 0.1%
0.8411934
 
0.2%
ValueCountFrequency (%)
101.01972
< 0.1%
100.12951
< 0.1%
99.0939091
< 0.1%
96.82451
< 0.1%
93.97719352
< 0.1%

wtd_std_atomic_mass
Real number (ℝ≥0)

ZEROS

Distinct14334
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.45400624
Minimum0
Maximum101.0197
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:26.179078image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.8464
Q128.6182109
median44.31415642
Q353.64049744
95-th percentile71.83503983
Maximum101.0197
Range101.0197
Interquartile range (IQR)25.02228654

Descriptive statistics

Standard deviation19.95985267
Coefficient of variation (CV)0.4814939371
Kurtosis-0.5154803715
Mean41.45400624
Median Absolute Deviation (MAD)11.54981337
Skewness-0.3466030329
Sum839982.5284
Variance398.3957186
MonotonicityNot monotonic
2022-04-26T10:37:26.303608image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
44.19212522110
 
0.5%
64.1963038283
 
0.4%
52.5332069853
 
0.3%
6.36113260447
 
0.2%
40.6122928744
 
0.2%
68.2776712744
 
0.2%
75.2194799743
 
0.2%
42.2269799340
 
0.2%
55.8639697932
 
0.2%
Other values (14324)19483
96.2%
ValueCountFrequency (%)
0284
1.4%
0.0320164021
 
< 0.1%
0.0447026021
 
< 0.1%
0.0604821151
 
< 0.1%
0.0748136771
 
< 0.1%
ValueCountFrequency (%)
101.01972
 
< 0.1%
100.12951
 
< 0.1%
93.97719352
 
< 0.1%
93.435405516
< 0.1%
93.411526571
 
< 0.1%

mean_fie
Real number (ℝ≥0)

Distinct2836
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean766.8024558
Minimum375.5
Maximum1313.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:26.428889image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile645.6666667
Q1723.8
median763.5857143
Q3794
95-th percentile912.898
Maximum1313.1
Range937.6
Interquartile range (IQR)70.2

Descriptive statistics

Standard deviation83.48152721
Coefficient of variation (CV)0.1088696659
Kurtosis3.165152036
Mean766.8024558
Median Absolute Deviation (MAD)33.747619
Skewness0.9481082244
Sum15537718.16
Variance6969.165386
MonotonicityNot monotonic
2022-04-26T10:37:26.548609image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
794705
 
3.5%
787.05356
 
1.8%
779.88323
 
1.6%
816.36267
 
1.3%
740.52254
 
1.3%
787.02175
 
0.9%
743.42167
 
0.8%
775.425155
 
0.8%
891.65150
 
0.7%
738.22150
 
0.7%
Other values (2826)17561
86.7%
ValueCountFrequency (%)
375.51
 
< 0.1%
496.851
 
< 0.1%
502.57
< 0.1%
5133
< 0.1%
519.96
< 0.1%
ValueCountFrequency (%)
1313.11
 
< 0.1%
1281.2752
< 0.1%
1258.7252
< 0.1%
1254.2666673
< 0.1%
1241.21
 
< 0.1%

wtd_mean_fie
Real number (ℝ≥0)

Distinct14260
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean871.9020412
Minimum375.5
Maximum1348.028986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:26.676234image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile648.2685
Q1738.3571429
median895.0360544
Q31004.684548
95-th percentile1024.9559
Maximum1348.028986
Range972.528986
Interquartile range (IQR)266.3274051

Descriptive statistics

Standard deviation144.7923498
Coefficient of variation (CV)0.1660649282
Kurtosis-1.25502838
Mean871.9020412
Median Absolute Deviation (MAD)115.5633746
Skewness-0.3084226811
Sum17667351.06
Variance20964.82457
MonotonicityNot monotonic
2022-04-26T10:37:26.844814image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003.623077110
 
0.5%
1005.86666783
 
0.4%
1011.54071453
 
0.3%
779.233333347
 
0.2%
737.037544
 
0.2%
738.357142944
 
0.2%
982.443
 
0.2%
1007.01333340
 
0.2%
788.7534
 
0.2%
1008.81285732
 
0.2%
Other values (14250)19733
97.4%
ValueCountFrequency (%)
375.51
 
< 0.1%
502.57
< 0.1%
5133
< 0.1%
519.96
< 0.1%
528.4551
 
< 0.1%
ValueCountFrequency (%)
1348.0289861
< 0.1%
1313.11
< 0.1%
1290.3603771
< 0.1%
1221.8240281
< 0.1%
1218.526251
< 0.1%

gmean_fie
Real number (ℝ≥0)

Distinct3102
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean734.7503318
Minimum375.5
Maximum1313.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:26.965457image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile631.7290558
Q1692.5413311
median727.8459992
Q3762.7903388
95-th percentile870.2180464
Maximum1313.1
Range937.6
Interquartile range (IQR)70.2490077

Descriptive statistics

Standard deviation74.98618504
Coefficient of variation (CV)0.1020566876
Kurtosis3.710276144
Mean734.7503318
Median Absolute Deviation (MAD)35.3046681
Skewness1.186359273
Sum14888245.97
Variance5622.927947
MonotonicityNot monotonic
2022-04-26T10:37:27.085524image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
741.6293489705
 
3.5%
734.2196242356
 
1.8%
740.3993327323
 
1.6%
771.8910221267
 
1.3%
692.5413311254
 
1.3%
745.0910123175
 
0.9%
696.3138494167
 
0.8%
718.1529155
 
0.8%
690.3281148150
 
0.7%
838.584885150
 
0.7%
Other values (3092)17561
86.7%
ValueCountFrequency (%)
375.51
 
< 0.1%
490.63346811
 
< 0.1%
502.57
< 0.1%
5133
< 0.1%
513.74989051
 
< 0.1%
ValueCountFrequency (%)
1313.11
 
< 0.1%
1225.9001592
< 0.1%
1213.4084251
 
< 0.1%
1205.6807892
< 0.1%
1193.0066283
< 0.1%

wtd_gmean_fie
Real number (ℝ≥0)

Distinct14395
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean833.7311933
Minimum375.5
Maximum1327.593381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:27.204883image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum375.5
5-th percentile644.8054803
Q1717.381269
median863.2052788
Q3937.8975602
95-th percentile960.4527159
Maximum1327.593381
Range952.093381
Interquartile range (IQR)220.5162911

Descriptive statistics

Standard deviation121.0569222
Coefficient of variation (CV)0.145198984
Kurtosis-0.9430006727
Mean833.7311933
Median Absolute Deviation (MAD)82.4285518
Skewness-0.3283418408
Sum16893895.17
Variance14654.77842
MonotonicityNot monotonic
2022-04-26T10:37:27.320576image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
937.5591924110
 
0.5%
945.371395583
 
0.4%
940.294344353
 
0.3%
778.658644447
 
0.2%
702.424196544
 
0.2%
709.159674144
 
0.2%
905.220525643
 
0.2%
944.269165740
 
0.2%
935.528652432
 
0.2%
939.505668330
 
0.1%
Other values (14385)19737
97.4%
ValueCountFrequency (%)
375.51
 
< 0.1%
502.57
< 0.1%
5133
< 0.1%
519.96
< 0.1%
526.43334771
 
< 0.1%
ValueCountFrequency (%)
1327.5933811
< 0.1%
1313.11
< 0.1%
1274.7815071
< 0.1%
1199.0086721
< 0.1%
1183.7122941
< 0.1%

entropy_fie
Real number (ℝ≥0)

ZEROS

Distinct3054
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.297382708
Minimum0
Maximum2.157776572
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:27.442251image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.681221209
Q11.085372017
median1.355284393
Q31.551120038
95-th percentile1.743794288
Maximum2.157776572
Range2.157776572
Interquartile range (IQR)0.465748021

Descriptive statistics

Standard deviation0.3861529567
Coefficient of variation (CV)0.2976399749
Kurtosis0.3561300007
Mean1.297382708
Median Absolute Deviation (MAD)0.258297529
Skewness-0.7896288518
Sum26288.86581
Variance0.149114106
MonotonicityNot monotonic
2022-04-26T10:37:27.552955image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.315004308705
 
3.5%
1.313008024356
 
1.8%
1.553218704323
 
1.6%
0284
 
1.4%
1.552506364267
 
1.3%
1.53695956254
 
1.3%
1.551741321175
 
0.9%
1.538526557167
 
0.8%
1.305967036155
 
0.8%
1.328084582150
 
0.7%
Other values (3044)17427
86.0%
ValueCountFrequency (%)
0284
1.4%
0.5698749296
 
< 0.1%
0.58386262823
 
0.1%
0.5846011521
 
< 0.1%
0.5872055941
 
< 0.1%
ValueCountFrequency (%)
2.1577765724
 
< 0.1%
2.14314047210
< 0.1%
2.0387798156
< 0.1%
2.0360246784
 
< 0.1%
2.0359438741
 
< 0.1%

wtd_entropy_fie
Real number (ℝ≥0)

ZEROS

Distinct14371
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9170292355
Minimum0
Maximum2.038560253
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:27.678325image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3248495661
Q10.748858592
median0.913320112
Q31.051453933
95-th percentile1.546212725
Maximum2.038560253
Range2.038560253
Interquartile range (IQR)0.3025953415

Descriptive statistics

Standard deviation0.3318239119
Coefficient of variation (CV)0.361846601
Kurtosis0.9278143178
Mean0.9170292355
Median Absolute Deviation (MAD)0.148475389
Skewness-0.02882804944
Sum18581.7634
Variance0.1101071085
MonotonicityNot monotonic
2022-04-26T10:37:27.799001image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
0.890516212110
 
0.5%
1.01920228883
 
0.4%
0.78686523453
 
0.3%
0.62334985447
 
0.2%
1.28243898844
 
0.2%
1.56711994944
 
0.2%
0.87722685643
 
0.2%
0.88350384340
 
0.2%
0.78321037432
 
0.2%
Other values (14361)19483
96.2%
ValueCountFrequency (%)
0284
1.4%
0.0004584991
 
< 0.1%
0.0009160951
 
< 0.1%
0.001119051
 
< 0.1%
0.0012207941
 
< 0.1%
ValueCountFrequency (%)
2.0385602531
< 0.1%
2.0314645821
< 0.1%
2.0212832811
< 0.1%
2.0066666651
< 0.1%
1.9543448141
< 0.1%

range_fie
Real number (ℝ≥0)

ZEROS

Distinct808
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean571.6934511
Minimum0
Maximum1304.5
Zeros288
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:27.924665image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.6
Q1255.6
median764.1
Q3810.6
95-th percentile817.5
Maximum1304.5
Range1304.5
Interquartile range (IQR)555

Descriptive statistics

Standard deviation307.3140774
Coefficient of variation (CV)0.5375504597
Kurtosis-1.145182833
Mean571.6934511
Median Absolute Deviation (MAD)46.5
Skewness-0.5260674269
Sum11584224.4
Variance94441.94219
MonotonicityNot monotonic
2022-04-26T10:37:28.049366image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
810.65906
29.1%
764.11956
 
9.7%
7721310
 
6.5%
773443
 
2.2%
781.6395
 
1.9%
786.5353
 
1.7%
0288
 
1.4%
894.6230
 
1.1%
443.7186
 
0.9%
817.5162
 
0.8%
Other values (798)9034
44.6%
ValueCountFrequency (%)
0288
1.4%
0.12
 
< 0.1%
0.51
 
< 0.1%
0.916
 
0.1%
127
 
0.1%
ValueCountFrequency (%)
1304.54
 
< 0.1%
1277.24
 
< 0.1%
1261.54
 
< 0.1%
1184.42
 
< 0.1%
1177.588
0.4%

wtd_range_fie
Real number (ℝ≥0)

ZEROS

Distinct11739
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean490.1416488
Minimum0
Maximum1251.855072
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:28.221871image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile113.62
Q1293.5260714
median531.5426667
Q3692.3582004
95-th percentile748.2394286
Maximum1251.855072
Range1251.855072
Interquartile range (IQR)398.832129

Descriptive statistics

Standard deviation225.1125192
Coefficient of variation (CV)0.4592805361
Kurtosis-1.070428191
Mean490.1416488
Median Absolute Deviation (MAD)171.4227179
Skewness-0.3399643984
Sum9931740.229
Variance50675.6463
MonotonicityNot monotonic
2022-04-26T10:37:28.344720image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
738.7692857145
 
0.7%
659.7153846113
 
0.6%
661.0266667108
 
0.5%
738.578571477
 
0.4%
698.952307774
 
0.4%
648.509090957
 
0.3%
112.57552
 
0.3%
287.748
 
0.2%
734.657142944
 
0.2%
Other values (11729)19261
95.1%
ValueCountFrequency (%)
0284
1.4%
0.452
 
< 0.1%
0.51
 
< 0.1%
0.8285714292
 
< 0.1%
0.954
 
< 0.1%
ValueCountFrequency (%)
1251.8550721
< 0.1%
1057.41151
< 0.1%
1049.3951221
< 0.1%
1042.6838711
< 0.1%
1037.6838711
< 0.1%

std_fie
Real number (ℝ≥0)

ZEROS

Distinct3000
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.4339249
Minimum0
Maximum499.6719493
Zeros288
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:28.465298image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.14147421
Q1112.85
median267.4475696
Q3296.7518115
95-th percentile341.45
Maximum499.6719493
Range499.6719493
Interquartile range (IQR)183.9018115

Descriptive statistics

Standard deviation109.4030216
Coefficient of variation (CV)0.5078263403
Kurtosis-0.9680595179
Mean215.4339249
Median Absolute Deviation (MAD)48.997967
Skewness-0.5076494281
Sum4365337.62
Variance11969.02114
MonotonicityNot monotonic
2022-04-26T10:37:28.589012image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311.7434923705
 
3.5%
314.5059658356
 
1.8%
276.0631478323
 
1.6%
0288
 
1.4%
282.3952592267
 
1.3%
298.6430069254
 
1.3%
279.1810982175
 
0.9%
296.615154167
 
0.8%
323.8118078155
 
0.8%
301.5128397150
 
0.7%
Other values (2990)17423
86.0%
ValueCountFrequency (%)
0288
1.4%
0.052
 
< 0.1%
0.251
 
< 0.1%
0.42426406910
 
< 0.1%
0.456
 
< 0.1%
ValueCountFrequency (%)
499.67194931
 
< 0.1%
492.05701133
< 0.1%
490.72948251
 
< 0.1%
485.96944353
< 0.1%
485.64249391
 
< 0.1%

wtd_std_fie
Real number (ℝ≥0)

ZEROS

Distinct14233
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.5130805
Minimum0
Maximum479.1623053
Zeros287
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:28.719620image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.92655209
Q192.27279603
median259.3253712
Q3342.8934821
95-th percentile355.2597504
Maximum479.1623053
Range479.1623053
Interquartile range (IQR)250.6206861

Descriptive statistics

Standard deviation128.7321275
Coefficient of variation (CV)0.5708410671
Kurtosis-1.415735517
Mean225.5130805
Median Absolute Deviation (MAD)91.1372418
Skewness-0.437587238
Sum4569571.549
Variance16571.96065
MonotonicityNot monotonic
2022-04-26T10:37:28.849165image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0287
 
1.4%
342.3960014110
 
0.5%
333.238432583
 
0.4%
353.819831553
 
0.3%
29.6513443647
 
0.2%
230.981216444
 
0.2%
255.465227544
 
0.2%
367.154441143
 
0.2%
335.315248440
 
0.2%
357.450224132
 
0.2%
Other values (14223)19480
96.1%
ValueCountFrequency (%)
0287
1.4%
1.14 × 10-131
 
< 0.1%
0.0264482511
 
< 0.1%
0.043301271
 
< 0.1%
0.0471404521
 
< 0.1%
ValueCountFrequency (%)
479.16230531
< 0.1%
477.81316421
< 0.1%
467.12302051
< 0.1%
466.30529391
< 0.1%
466.28458751
< 0.1%

mean_atomic_radius
Real number (ℝ≥0)

Distinct917
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.6076692
Minimum48
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:28.973867image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile123
Q1149.8
median160.25
Q3170.25
95-th percentile188.4833333
Maximum298
Range250
Interquartile range (IQR)20.45

Descriptive statistics

Standard deviation19.56365001
Coefficient of variation (CV)0.1233461794
Kurtosis1.607427623
Mean158.6076692
Median Absolute Deviation (MAD)10.4166667
Skewness-0.5312653548
Sum3213867.2
Variance382.7364019
MonotonicityNot monotonic
2022-04-26T10:37:29.095509image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164.5725
 
3.6%
149.8456
 
2.3%
160362
 
1.8%
151.75356
 
1.8%
167340
 
1.7%
181293
 
1.4%
150.5275
 
1.4%
162.8208
 
1.0%
160.25198
 
1.0%
162194
 
1.0%
Other values (907)16856
83.2%
ValueCountFrequency (%)
481
 
< 0.1%
66.333333331
 
< 0.1%
6727
0.1%
71.333333331
 
< 0.1%
71.55
 
< 0.1%
ValueCountFrequency (%)
2981
 
< 0.1%
2537
< 0.1%
2311
 
< 0.1%
225.51
 
< 0.1%
2213
< 0.1%

wtd_mean_atomic_radius
Real number (ℝ≥0)

Distinct11922
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.6127257
Minimum48
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:29.212196image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile104.2
Q1111.88125
median125
Q3158.4992
95-th percentile187.732
Maximum298
Range250
Interquartile range (IQR)46.61795

Descriptive statistics

Standard deviation29.16132313
Coefficient of variation (CV)0.2166312507
Kurtosis-0.6325529996
Mean134.6127257
Median Absolute Deviation (MAD)18.7566667
Skewness0.5785053082
Sum2727657.66
Variance850.3827666
MonotonicityNot monotonic
2022-04-26T10:37:29.334904image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.5384615110
 
0.5%
106.133333389
 
0.4%
104.371428659
 
0.3%
15758
 
0.3%
106.333333358
 
0.3%
15653
 
0.3%
171.571428644
 
0.2%
113.727272743
 
0.2%
112.133333340
 
0.2%
115.615384637
 
0.2%
Other values (11912)19672
97.1%
ValueCountFrequency (%)
481
 
< 0.1%
64.61
 
< 0.1%
66.289855071
 
< 0.1%
6727
0.1%
67.31
 
< 0.1%
ValueCountFrequency (%)
2981
 
< 0.1%
2537
< 0.1%
243.161
 
< 0.1%
242.22850381
 
< 0.1%
2311
 
< 0.1%

gmean_atomic_radius
Real number (ℝ≥0)

Distinct2966
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.907615
Minimum48
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:29.457540image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile110.7170784
Q1133.619456
median142.8627522
Q3155.9381993
95-th percentile185.8697782
Maximum298
Range250
Interquartile range (IQR)22.3187433

Descriptive statistics

Standard deviation21.51858596
Coefficient of variation (CV)0.1484986552
Kurtosis1.302037846
Mean144.907615
Median Absolute Deviation (MAD)9.9901182
Skewness0.1982518437
Sum2936263.002
Variance463.0495416
MonotonicityNot monotonic
2022-04-26T10:37:29.635068image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139.0005138705
 
3.5%
131.3021966356
 
1.8%
133.4253112323
 
1.6%
139.595299267
 
1.3%
155.9381993254
 
1.3%
148.7373524167
 
0.8%
142.2453388167
 
0.8%
136.1260031155
 
0.8%
146.1211967150
 
0.7%
131.7290221150
 
0.7%
Other values (2956)17569
86.7%
ValueCountFrequency (%)
481
 
< 0.1%
64.79814682
 
< 0.1%
65.462500141
 
< 0.1%
65.696256722
 
< 0.1%
6727
0.1%
ValueCountFrequency (%)
2981
 
< 0.1%
2537
< 0.1%
2311
 
< 0.1%
224.81992791
 
< 0.1%
219.46525923
< 0.1%

wtd_gmean_atomic_radius
Real number (ℝ≥0)

Distinct14272
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.64096
Minimum48
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:29.764831image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile84.03861841
Q189.04467469
median110.6521346
Q3151.1531993
95-th percentile186.7213462
Maximum298
Range250
Interquartile range (IQR)62.1085246

Descriptive statistics

Standard deviation36.28824212
Coefficient of variation (CV)0.3007953693
Kurtosis-0.9319878809
Mean120.64096
Median Absolute Deviation (MAD)25.22858996
Skewness0.5756416082
Sum2444547.773
Variance1316.836516
MonotonicityNot monotonic
2022-04-26T10:37:29.885512image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.68519077110
 
0.5%
86.4573385988
 
0.4%
84.110834758
 
0.3%
103.149905857
 
0.3%
144.682968144
 
0.2%
153.255987144
 
0.2%
88.9630381543
 
0.2%
88.82432640
 
0.2%
85.031617132
 
0.2%
97.8805189131
 
0.2%
Other values (14262)19716
97.3%
ValueCountFrequency (%)
481
< 0.1%
61.250400821
< 0.1%
61.34745491
< 0.1%
61.366697071
< 0.1%
61.369837691
< 0.1%
ValueCountFrequency (%)
2981
 
< 0.1%
2537
< 0.1%
237.91135611
 
< 0.1%
235.05741911
 
< 0.1%
2311
 
< 0.1%

entropy_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct2928
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.266113782
Minimum0
Maximum2.141960705
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:30.005318image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.662574757
Q11.064890955
median1.323199001
Q31.512652581
95-th percentile1.717239306
Maximum2.141960705
Range2.141960705
Interquartile range (IQR)0.4477616255

Descriptive statistics

Standard deviation0.3798278977
Coefficient of variation (CV)0.2999950739
Kurtosis0.3369906507
Mean1.266113782
Median Absolute Deviation (MAD)0.22960183
Skewness-0.7432762037
Sum25655.26357
Variance0.1442692319
MonotonicityNot monotonic
2022-04-26T10:37:30.119017image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.256700567705
 
3.5%
1.275273991356
 
1.8%
1.519537361323
 
1.6%
0284
 
1.4%
1.501217585267
 
1.3%
1.499861141254
 
1.3%
1.504459863167
 
0.8%
1.506997782167
 
0.8%
1.259243972155
 
0.8%
1.260175264150
 
0.7%
Other values (2918)17435
86.0%
ValueCountFrequency (%)
0284
1.4%
0.4767514246
 
< 0.1%
0.49356519210
 
< 0.1%
0.4992498171
 
< 0.1%
0.5027235212
 
< 0.1%
ValueCountFrequency (%)
2.1419607054
 
< 0.1%
2.06108888610
< 0.1%
2.0176952636
< 0.1%
2.0173583584
 
< 0.1%
2.0172436071
 
< 0.1%

wtd_entropy_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct14252
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.12961572
Minimum0
Maximum1.903748188
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:30.236277image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3690708702
Q10.8344786265
median1.244884092
Q31.430461125
95-th percentile1.651320482
Maximum1.903748188
Range1.903748188
Interquartile range (IQR)0.5959824985

Descriptive statistics

Standard deviation0.4130491751
Coefficient of variation (CV)0.365654592
Kurtosis-0.1650652901
Mean1.12961572
Median Absolute Deviation (MAD)0.244369454
Skewness-0.7791267849
Sum22889.40333
Variance0.170609621
MonotonicityNot monotonic
2022-04-26T10:37:30.357955image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
1.339742693110
 
0.5%
1.57318466383
 
0.4%
1.16005975153
 
0.3%
0.68900923851
 
0.3%
1.4560112844
 
0.2%
1.16683237344
 
0.2%
1.30036073343
 
0.2%
1.32677160840
 
0.2%
1.13328008432
 
0.2%
Other values (14242)19479
96.1%
ValueCountFrequency (%)
0284
1.4%
0.0005451731
 
< 0.1%
0.0006256691
 
< 0.1%
0.0006982731
 
< 0.1%
0.0008346911
 
< 0.1%
ValueCountFrequency (%)
1.9037481881
< 0.1%
1.8855802351
< 0.1%
1.8520618971
< 0.1%
1.8493689151
< 0.1%
1.8490611871
< 0.1%

range_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct189
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.2167497
Minimum0
Maximum256
Zeros304
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:30.490599image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q180
median171
Q3205
95-th percentile205
Maximum256
Range256
Interquartile range (IQR)125

Descriptive statistics

Standard deviation67.90175338
Coefficient of variation (CV)0.4842627825
Kurtosis-0.8992878912
Mean140.2167497
Median Absolute Deviation (MAD)34
Skewness-0.7149847498
Sum2841212
Variance4610.648111
MonotonicityNot monotonic
2022-04-26T10:37:30.616783image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2056099
30.1%
1713108
 
15.3%
139381
 
1.9%
199353
 
1.7%
0304
 
1.5%
53298
 
1.5%
80295
 
1.5%
147220
 
1.1%
185217
 
1.1%
145215
 
1.1%
Other values (179)8773
43.3%
ValueCountFrequency (%)
0304
1.5%
19
 
< 0.1%
2185
0.9%
361
 
0.3%
414
 
0.1%
ValueCountFrequency (%)
2564
 
< 0.1%
25034
0.2%
2451
 
< 0.1%
23127
0.1%
2234
 
< 0.1%

wtd_range_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct10941
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.50872402
Minimum0
Maximum240.1643439
Zeros285
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:30.743479image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.40375
Q128.12929346
median42.64333333
Q360.8
95-th percentile135
Maximum240.1643439
Range240.1643439
Interquartile range (IQR)32.67070654

Descriptive statistics

Standard deviation35.57129213
Coefficient of variation (CV)0.690587717
Kurtosis2.758557106
Mean51.50872402
Median Absolute Deviation (MAD)15.47438356
Skewness1.626306992
Sum1043721.275
Variance1265.316823
MonotonicityNot monotonic
2022-04-26T10:37:30.870135image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0285
 
1.4%
65.42857143180
 
0.9%
38.5125
 
0.6%
48.75122
 
0.6%
22.61538462110
 
0.5%
16.2666666784
 
0.4%
55.2857142980
 
0.4%
55.7142857177
 
0.4%
35.1230769262
 
0.3%
46.8428571453
 
0.3%
Other values (10931)19085
94.2%
ValueCountFrequency (%)
0285
1.4%
0.4233128831
 
< 0.1%
0.451
 
< 0.1%
0.5060728742
 
< 0.1%
0.61
 
< 0.1%
ValueCountFrequency (%)
240.16434391
< 0.1%
230.841
< 0.1%
208.031
< 0.1%
204.191
< 0.1%
204.11442791
< 0.1%

std_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct2370
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.81429099
Minimum0
Maximum115.5
Zeros304
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:31.045675image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q135.47489421
median58.71762938
Q369.49679842
95-th percentile78.11632352
Maximum115.5
Range115.5
Interquartile range (IQR)34.0219042

Descriptive statistics

Standard deviation23.09042896
Coefficient of variation (CV)0.4456382307
Kurtosis-0.4872303658
Mean51.81429099
Median Absolute Deviation (MAD)12.5828615
Skewness-0.7704989709
Sum1049912.978
Variance533.1679097
MonotonicityNot monotonic
2022-04-26T10:37:31.170631image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.52580216705
 
3.5%
65.57962717356
 
1.8%
58.6085318323
 
1.6%
0304
 
1.5%
69.92281459267
 
1.3%
76.79322887254
 
1.3%
1185
 
0.9%
70.40624972167
 
0.8%
69.42449136167
 
0.8%
75.2375405155
 
0.8%
Other values (2360)17380
85.8%
ValueCountFrequency (%)
0304
1.5%
0.59
 
< 0.1%
1185
0.9%
1.2472191291
 
< 0.1%
1.560
 
0.3%
ValueCountFrequency (%)
115.56
< 0.1%
106.92374621
 
< 0.1%
102.49661246
< 0.1%
102.21871974
< 0.1%
102.00980353
< 0.1%

wtd_std_atomic_radius
Real number (ℝ≥0)

ZEROS

Distinct13625
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.74974751
Minimum0
Maximum97.14071087
Zeros304
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:31.307304image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q132.01695813
median62.67972769
Q374.3546592
95-th percentile80.85341571
Maximum97.14071087
Range97.14071087
Interquartile range (IQR)42.33770106

Descriptive statistics

Standard deviation25.54379192
Coefficient of variation (CV)0.4842448187
Kurtosis-0.8427250648
Mean52.74974751
Median Absolute Deviation (MAD)16.2213623
Skewness-0.6788860807
Sum1068868.134
Variance652.4853055
MonotonicityNot monotonic
2022-04-26T10:37:31.424397image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0304
 
1.5%
79.23539942110
 
0.5%
66.31929588
 
0.4%
67.111457758
 
0.3%
27.3414622157
 
0.3%
51.9831703544
 
0.2%
67.9114068744
 
0.2%
79.3531701943
 
0.2%
76.1077014640
 
0.2%
70.1132069332
 
0.2%
Other values (13615)19443
96.0%
ValueCountFrequency (%)
0304
1.5%
0.0489750961
 
< 0.1%
0.0528965031
 
< 0.1%
0.0948208841
 
< 0.1%
0.1174904251
 
< 0.1%
ValueCountFrequency (%)
97.140710871
< 0.1%
91.51
< 0.1%
90.164501311
< 0.1%
90.0299272
< 0.1%
89.809679441
< 0.1%

mean_Density
Real number (ℝ≥0)

Distinct3087
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6117.944838
Minimum1.429
Maximum22590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:31.544333image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.429
5-th percentile3239.404833
Q14554.271525
median5329.0858
Q36702.476333
95-th percentile11980
Maximum22590
Range22588.571
Interquartile range (IQR)2148.204808

Descriptive statistics

Standard deviation2858.755211
Coefficient of variation (CV)0.46727378
Kurtosis6.316056073
Mean6117.944838
Median Absolute Deviation (MAD)1043.4
Skewness2.133770453
Sum123967916.3
Variance8172481.354
MonotonicityNot monotonic
2022-04-26T10:37:31.657057image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4235.85725705
 
3.5%
4434.35725356
 
1.8%
4584.2858323
 
1.6%
4816.6858267
 
1.3%
4716.6858254
 
1.3%
4617.8858167
 
0.8%
4963.4858166
 
0.8%
4565.5715163
 
0.8%
4654.35725155
 
0.8%
4033.4858150
 
0.7%
Other values (3077)17557
86.6%
ValueCountFrequency (%)
1.4291
 
< 0.1%
484.71451
 
< 0.1%
5356
< 0.1%
754.43463331
 
< 0.1%
779.3352251
 
< 0.1%
ValueCountFrequency (%)
225904
 
< 0.1%
225757
 
< 0.1%
225603
 
< 0.1%
220052
 
< 0.1%
2180523
0.1%

wtd_mean_Density
Real number (ℝ≥0)

Distinct14323
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5238.074246
Minimum1.429
Maximum22590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:31.786303image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.429
5-th percentile2374.12934
Q12993.205852
median3961.130985
Q36343.000027
95-th percentile11252.5
Maximum22590
Range22588.571
Interquartile range (IQR)3349.794175

Descriptive statistics

Standard deviation3253.980674
Coefficient of variation (CV)0.6212169819
Kurtosis6.267695078
Mean5238.074246
Median Absolute Deviation (MAD)1308.654765
Skewness2.161812147
Sum106139098.4
Variance10588390.23
MonotonicityNot monotonic
2022-04-26T10:37:31.900797image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2952.461769110
 
0.5%
2953.428883
 
0.4%
2961.47371453
 
0.3%
2219.33333347
 
0.2%
5536.42862544
 
0.2%
5481.91842944
 
0.2%
731043
 
0.2%
3608.05218243
 
0.2%
3156.228840
 
0.2%
3276.79514332
 
0.2%
Other values (14313)19724
97.3%
ValueCountFrequency (%)
1.4291
< 0.1%
370.65330191
< 0.1%
466.071921
< 0.1%
480.471751
< 0.1%
484.71451
< 0.1%
ValueCountFrequency (%)
225904
< 0.1%
22585.51
 
< 0.1%
225752
< 0.1%
225721
 
< 0.1%
225692
< 0.1%

gmean_Density
Real number (ℝ≥0)

Distinct3142
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3440.114218
Minimum1.429
Maximum22590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:32.021476image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.429
5-th percentile364.2295941
Q1890.8231613
median1328.663078
Q35718.630764
95-th percentile10757.36771
Maximum22590
Range22588.571
Interquartile range (IQR)4827.807603

Descriptive statistics

Standard deviation3719.350944
Coefficient of variation (CV)1.081170772
Kurtosis3.331799921
Mean3440.114218
Median Absolute Deviation (MAD)659.1064902
Skewness1.704023222
Sum69707034.4
Variance13833571.44
MonotonicityNot monotonic
2022-04-26T10:37:32.134361image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
669.5565878705
 
3.5%
674.4847514356
 
1.8%
874.1647863323
 
1.6%
1074.903488267
 
1.3%
1059.408482254
 
1.3%
1043.153792167
 
0.8%
1096.147284166
 
0.8%
724.9532109155
 
0.8%
843.9453445150
 
0.7%
883.1172781150
 
0.7%
Other values (3132)17570
86.7%
ValueCountFrequency (%)
1.4291
< 0.1%
6.9143015162
< 0.1%
7.4579589921
< 0.1%
8.6757028321
< 0.1%
13.35434892
< 0.1%
ValueCountFrequency (%)
225904
 
< 0.1%
22574.995027
 
< 0.1%
225603
 
< 0.1%
21997.999912
 
< 0.1%
21790.8650623
0.1%

wtd_gmean_Density
Real number (ℝ≥0)

Distinct14387
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3077.364933
Minimum0.686244596
Maximum22590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:32.255330image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.686244596
5-th percentile51.53328226
Q166.34216896
median1394.947394
Q35657.792009
95-th percentile10279.09259
Maximum22590
Range22589.31376
Interquartile range (IQR)5591.44984

Descriptive statistics

Standard deviation4007.52182
Coefficient of variation (CV)1.302257583
Kurtosis3.52556543
Mean3077.364933
Median Absolute Deviation (MAD)1339.930037
Skewness1.690398093
Sum62356645.65
Variance16060231.13
MonotonicityNot monotonic
2022-04-26T10:37:32.422920image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.34216896110
 
0.5%
64.6228811983
 
0.4%
53.4270174953
 
0.3%
2190.98798247
 
0.2%
1780.07744744
 
0.2%
1814.76813144
 
0.2%
67.4747244443
 
0.2%
71.2372358840
 
0.2%
731037
 
0.2%
56.4346237532
 
0.2%
Other values (14377)19730
97.4%
ValueCountFrequency (%)
0.6862445961
< 0.1%
1.4291
< 0.1%
2.1131321191
< 0.1%
2.1169238891
< 0.1%
2.2088747911
< 0.1%
ValueCountFrequency (%)
225904
< 0.1%
22585.497461
 
< 0.1%
22574.995022
< 0.1%
22571.995221
 
< 0.1%
22568.995812
< 0.1%

entropy_Density
Real number (ℝ≥0)

ZEROS

Distinct3093
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071595477
Minimum0
Maximum1.954296572
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:32.545762image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.480569671
Q10.900953458
median1.090609911
Q31.323930243
95-th percentile1.52270439
Maximum1.954296572
Range1.954296572
Interquartile range (IQR)0.422976785

Descriptive statistics

Standard deviation0.3457315177
Coefficient of variation (CV)0.3226324905
Kurtosis0.5676870611
Mean1.071595477
Median Absolute Deviation (MAD)0.231603156
Skewness-0.7983006156
Sum21713.73916
Variance0.1195302823
MonotonicityNot monotonic
2022-04-26T10:37:32.666442image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.015407123705
 
3.5%
0.99598278356
 
1.8%
1.161774357323
 
1.6%
0284
 
1.4%
1.322213067267
 
1.3%
1.323930243254
 
1.3%
1.324548305167
 
0.8%
1.318041665166
 
0.8%
1.033128801155
 
0.8%
0.977861596150
 
0.7%
Other values (3083)17436
86.0%
ValueCountFrequency (%)
0284
1.4%
7.09 × 10-53
 
< 0.1%
9.57 × 10-516
 
0.1%
0.0001307583
 
< 0.1%
0.0004306821
 
< 0.1%
ValueCountFrequency (%)
1.9542965724
< 0.1%
1.8218363221
 
< 0.1%
1.814525496
< 0.1%
1.8078852544
< 0.1%
1.8071699644
< 0.1%

wtd_entropy_Density
Real number (ℝ≥0)

ZEROS

Distinct14391
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.851089126
Minimum0
Maximum1.70342035
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:32.798090image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.166439601
Q10.6851832105
median0.876133071
Q31.075236747
95-th percentile1.32336842
Maximum1.70342035
Range1.70342035
Interquartile range (IQR)0.3900535365

Descriptive statistics

Standard deviation0.3219272588
Coefficient of variation (CV)0.3782532863
Kurtosis0.3809487844
Mean0.851089126
Median Absolute Deviation (MAD)0.193161152
Skewness-0.5784943412
Sum17245.61896
Variance0.10363716
MonotonicityNot monotonic
2022-04-26T10:37:32.918637image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
0.812798146110
 
0.5%
1.09951242283
 
0.4%
0.76962833253
 
0.3%
0.57414124147
 
0.2%
1.09773644
 
0.2%
0.81098491244
 
0.2%
0.95210427243
 
0.2%
0.71863584340
 
0.2%
0.82855852132
 
0.2%
Other values (14381)19483
96.2%
ValueCountFrequency (%)
0284
1.4%
7.22 × 10-71
 
< 0.1%
3.67 × 10-61
 
< 0.1%
3.78 × 10-61
 
< 0.1%
6.87 × 10-61
 
< 0.1%
ValueCountFrequency (%)
1.703420351
 
< 0.1%
1.6941387811
 
< 0.1%
1.674153371
 
< 0.1%
1.6590953874
< 0.1%
1.6515575321
 
< 0.1%

range_Density
Real number (ℝ≥0)

ZEROS

Distinct866
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8668.713715
Minimum0
Maximum22588.571
Zeros298
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:33.053529image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1164
Q16700
median8958.571
Q39778.571
95-th percentile16127
Maximum22588.571
Range22588.571
Interquartile range (IQR)3078.571

Descriptive statistics

Standard deviation4070.883074
Coefficient of variation (CV)0.4696063578
Kurtosis1.180279772
Mean8668.713715
Median Absolute Deviation (MAD)1447.571
Skewness0.329814827
Sum175654146
Variance16572089
MonotonicityNot monotonic
2022-04-26T10:37:33.166128image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8958.5716310
31.1%
9778.5711384
 
6.8%
11338.571738
 
3.6%
13532.571694
 
3.4%
11848.571622
 
3.1%
7872.571319
 
1.6%
0298
 
1.5%
12368.571253
 
1.2%
5870199
 
1.0%
9064.571183
 
0.9%
Other values (856)9263
45.7%
ValueCountFrequency (%)
0298
1.5%
307
 
< 0.1%
702
 
< 0.1%
804
 
< 0.1%
945
 
< 0.1%
ValueCountFrequency (%)
22588.57118
0.1%
22559.91013
 
< 0.1%
22558.57122
0.1%
21448.7491
 
< 0.1%
21448.5712
 
< 0.1%

wtd_range_Density
Real number (ℝ≥0)

ZEROS

Distinct8802
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2903.654256
Minimum0
Maximum22434.16
Zeros286
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:33.285146image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile994.7616667
Q11643.044711
median2081.34203
Q33422.497583
95-th percentile6807.76
Maximum22434.16
Range22434.16
Interquartile range (IQR)1779.452872

Descriptive statistics

Standard deviation2424.208937
Coefficient of variation (CV)0.8348820911
Kurtosis15.65398057
Mean2903.654256
Median Absolute Deviation (MAD)625.17217
Skewness3.322048508
Sum58836746.2
Variance5876788.972
MonotonicityNot monotonic
2022-04-26T10:37:33.396849image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2066.922846726
 
3.6%
3839.795857371
 
1.8%
1303.237867354
 
1.7%
0286
 
1.4%
1623.483429236
 
1.2%
2388.5712219
 
1.1%
2444.821375187
 
0.9%
1279.183429185
 
0.9%
1377.692077145
 
0.7%
2592.666667123
 
0.6%
Other values (8792)17431
86.0%
ValueCountFrequency (%)
0286
1.4%
1.681
 
< 0.1%
7.181
 
< 0.1%
101
 
< 0.1%
14.444444441
 
< 0.1%
ValueCountFrequency (%)
22434.161
< 0.1%
22273.31
< 0.1%
22248.71
< 0.1%
22167.91
< 0.1%
22133.081
< 0.1%

std_Density
Real number (ℝ≥0)

ZEROS

Distinct3075
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3414.09825
Minimum0
Maximum10724.3745
Zeros298
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:33.517843image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile542.0481733
Q12860.157612
median3303.654576
Q34004.273231
95-th percentile6996.603938
Maximum10724.3745
Range10724.3745
Interquartile range (IQR)1144.115619

Descriptive statistics

Standard deviation1661.749542
Coefficient of variation (CV)0.4867316111
Kurtosis2.190548613
Mean3414.09825
Median Absolute Deviation (MAD)593.379796
Skewness0.8377572763
Sum69179872.84
Variance2761411.54
MonotonicityNot monotonic
2022-04-26T10:37:33.639558image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3194.938946705
 
3.5%
3402.856196356
 
1.8%
4004.273231323
 
1.6%
0298
 
1.5%
3084.729342267
 
1.3%
3015.110657254
 
1.3%
2958.021492167
 
0.8%
3206.849096166
 
0.8%
3306.162897155
 
0.8%
3207.256758150
 
0.7%
Other values (3065)17422
86.0%
ValueCountFrequency (%)
0298
1.5%
157
 
< 0.1%
352
 
< 0.1%
404
 
< 0.1%
475
 
< 0.1%
ValueCountFrequency (%)
10724.37451
 
< 0.1%
10509.37452
 
< 0.1%
105052
 
< 0.1%
10452.753968
< 0.1%
103714
< 0.1%

wtd_std_Density
Real number (ℝ≥0)

ZEROS

Distinct14249
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3325.924483
Minimum0
Maximum10410.932
Zeros297
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:33.822222image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile372.7027079
Q12651.285678
median3634.656308
Q33961.092956
95-th percentile5937.244591
Maximum10410.932
Range10410.932
Interquartile range (IQR)1309.807279

Descriptive statistics

Standard deviation1599.526722
Coefficient of variation (CV)0.4809269512
Kurtosis2.044544616
Mean3325.924483
Median Absolute Deviation (MAD)443.226132
Skewness0.396697812
Sum67393207.79
Variance2558485.733
MonotonicityNot monotonic
2022-04-26T10:37:33.948845image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0297
 
1.5%
3639.129247110
 
0.5%
3977.06081783
 
0.4%
3581.84892153
 
0.3%
340.35406447
 
0.2%
3275.96830744
 
0.2%
3919.18305744
 
0.2%
4695.92053443
 
0.2%
3797.70717540
 
0.2%
3831.08519632
 
0.2%
Other values (14239)19470
96.1%
ValueCountFrequency (%)
0297
1.5%
9.09 × 10-131
 
< 0.1%
8.3436514191
 
< 0.1%
10.712142641
 
< 0.1%
12.990381061
 
< 0.1%
ValueCountFrequency (%)
10410.9321
 
< 0.1%
10156.955616
< 0.1%
10156.611661
 
< 0.1%
10155.235591
 
< 0.1%
10068.359574
< 0.1%

mean_ElectronAffinity
Real number (ℝ≥0)

Distinct2253
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.04160647
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:34.077534image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile38.7175
Q162.09
median73.1
Q384.075
95-th percentile127.65
Maximum326.1
Range324.6
Interquartile range (IQR)21.985

Descriptive statistics

Standard deviation26.78694285
Coefficient of variation (CV)0.3522669246
Kurtosis3.602155149
Mean76.04160647
Median Absolute Deviation (MAD)11.01
Skewness1.110857
Sum1540831.072
Variance717.5403075
MonotonicityNot monotonic
2022-04-26T10:37:34.189962image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.2375705
 
3.5%
82.3375497
 
2.5%
79.6075356
 
1.8%
73.1323
 
1.6%
72.09313
 
1.5%
62.09302
 
1.5%
76.17251
 
1.2%
69.5177
 
0.9%
91.35174
 
0.9%
71.69167
 
0.8%
Other values (2243)16998
83.9%
ValueCountFrequency (%)
1.551
0.3%
2.6853
 
< 0.1%
3.873
 
< 0.1%
52
 
< 0.1%
5.35
 
< 0.1%
ValueCountFrequency (%)
326.11
 
< 0.1%
296.71
 
< 0.1%
228.31
 
< 0.1%
215.7757
< 0.1%
211.91
 
< 0.1%

wtd_mean_ElectronAffinity
Real number (ℝ≥0)

Distinct12899
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.55025328
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:34.312636image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile33.12668597
Q173.83957143
median103.3505
Q3110.6871002
95-th percentile142.1683333
Maximum326.1
Range324.6
Interquartile range (IQR)36.84752877

Descriptive statistics

Standard deviation31.71124869
Coefficient of variation (CV)0.3426381622
Kurtosis0.8816686465
Mean92.55025328
Median Absolute Deviation (MAD)11.9005
Skewness-0.2799391138
Sum1875345.782
Variance1005.603294
MonotonicityNot monotonic
2022-04-26T10:37:34.427731image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.7384615267
 
1.3%
113.2714286169
 
0.8%
81.71666667133
 
0.7%
109.1692308110
 
0.5%
83.5142857183
 
0.4%
105.475333383
 
0.4%
19.359
 
0.3%
111.779214353
 
0.3%
1.551
 
0.3%
67.6777777846
 
0.2%
Other values (12889)19209
94.8%
ValueCountFrequency (%)
1.551
0.3%
1.5295315681
 
< 0.1%
1.6451
 
< 0.1%
1.792
 
< 0.1%
1.8951
 
< 0.1%
ValueCountFrequency (%)
326.11
< 0.1%
296.71
< 0.1%
259.121
< 0.1%
229.5751
< 0.1%
220.03421
< 0.1%

gmean_ElectronAffinity
Real number (ℝ≥0)

Distinct2523
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.60217754
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:34.563740image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile18.00044934
Q133.56082486
median50.77369006
Q366.06425972
95-th percentile107.2459565
Maximum326.1
Range324.6
Interquartile range (IQR)32.50343486

Descriptive statistics

Standard deviation28.36280758
Coefficient of variation (CV)0.5291353614
Kurtosis3.408399365
Mean53.60217754
Median Absolute Deviation (MAD)16.67221375
Skewness1.375633003
Sum1086140.923
Variance804.4488539
MonotonicityNot monotonic
2022-04-26T10:37:34.679435image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.52796465705
 
3.5%
60.72149283497
 
2.5%
48.47726468356
 
1.8%
33.14878276323
 
1.6%
53.11608165313
 
1.5%
26.18682439302
 
1.5%
58.75372387251
 
1.2%
35.67446971177
 
0.9%
82.04689051174
 
0.9%
52.69696748167
 
0.8%
Other values (2513)16998
83.9%
ValueCountFrequency (%)
1.551
0.3%
2.4093567613
 
< 0.1%
3.3019272491
 
< 0.1%
3.5707142142
 
< 0.1%
3.694590645
 
< 0.1%
ValueCountFrequency (%)
326.11
 
< 0.1%
296.71
 
< 0.1%
207.360338516
0.1%
207.17339051
 
< 0.1%
206.85
 
< 0.1%

wtd_gmean_ElectronAffinity
Real number (ℝ≥0)

Distinct13101
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.23245453
Minimum1.5
Maximum326.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:34.805051image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile22.00470776
Q150.90468536
median73.67169184
Q389.96291576
95-th percentile122.1342732
Maximum326.1
Range324.6
Interquartile range (IQR)39.0582304

Descriptive statistics

Standard deviation31.06008125
Coefficient of variation (CV)0.4300017417
Kurtosis1.133327393
Mean72.23245453
Median Absolute Deviation (MAD)18.76542882
Skewness0.3771024116
Sum1463646.226
Variance964.7286474
MonotonicityNot monotonic
2022-04-26T10:37:34.920046image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.96291576267
 
1.3%
103.9473207169
 
0.8%
65.91101969133
 
0.7%
86.5393773110
 
0.5%
68.5472871783
 
0.4%
60.6524135183
 
0.4%
10.6054676959
 
0.3%
98.4119621353
 
0.3%
1.551
 
0.3%
55.4799253346
 
0.2%
Other values (13091)19209
94.8%
ValueCountFrequency (%)
1.551
0.3%
1.5072489981
 
< 0.1%
1.5336686161
 
< 0.1%
1.5359304351
 
< 0.1%
1.5510451591
 
< 0.1%
ValueCountFrequency (%)
326.11
< 0.1%
296.71
< 0.1%
242.76150211
< 0.1%
216.33124751
< 0.1%
214.65165851
< 0.1%

entropy_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct2480
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.067828469
Minimum0
Maximum1.767731809
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:35.045712image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.420434918
Q10.875954467
median1.138284462
Q31.347292012
95-th percentile1.48510995
Maximum1.767731809
Range1.767731809
Interquartile range (IQR)0.471337545

Descriptive statistics

Standard deviation0.3455175573
Coefficient of variation (CV)0.3235702805
Kurtosis0.4785759988
Mean1.067828469
Median Absolute Deviation (MAD)0.216461152
Skewness-0.9181910746
Sum21637.40827
Variance0.1193823824
MonotonicityNot monotonic
2022-04-26T10:37:35.218796image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.105182174705
 
3.5%
1.1640132497
 
2.5%
1.096671769356
 
1.8%
1.200885906323
 
1.6%
1.357428929313
 
1.5%
1.130427572302
 
1.5%
0284
 
1.4%
1.402808585251
 
1.2%
1.426418382177
 
0.9%
1.2852032174
 
0.9%
Other values (2470)16881
83.3%
ValueCountFrequency (%)
0284
1.4%
0.0399303964
 
< 0.1%
0.0427021481
 
< 0.1%
0.054804562
 
< 0.1%
0.0604620921
 
< 0.1%
ValueCountFrequency (%)
1.7677318094
 
< 0.1%
1.76728110219
0.1%
1.7672218094
 
< 0.1%
1.7630035525
 
< 0.1%
1.7588413274
 
< 0.1%

wtd_entropy_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct13409
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7622189801
Minimum0
Maximum1.675374721
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:35.346451image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.17658452
Q10.659269288
median0.779930533
Q30.864754692
95-th percentile1.240368776
Maximum1.675374721
Range1.675374721
Interquartile range (IQR)0.205485404

Descriptive statistics

Standard deviation0.2794445852
Coefficient of variation (CV)0.3666198199
Kurtosis1.028038246
Mean0.7622189801
Median Absolute Deviation (MAD)0.107149244
Skewness-0.328731064
Sum15444.84319
Variance0.07808927621
MonotonicityNot monotonic
2022-04-26T10:37:35.464185image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
0.802321609141
 
0.7%
0.762761032110
 
0.5%
0.82767121583
 
0.4%
0.82266077178
 
0.4%
1.20616336764
 
0.3%
1.01232400562
 
0.3%
0.77765715653
 
0.3%
0.12021206247
 
0.2%
0.95337138444
 
0.2%
Other values (13399)19297
95.2%
ValueCountFrequency (%)
0284
1.4%
0.0002228061
 
< 0.1%
0.0002961261
 
< 0.1%
0.0002981561
 
< 0.1%
0.0003851051
 
< 0.1%
ValueCountFrequency (%)
1.6753747211
< 0.1%
1.6478418721
< 0.1%
1.6316621741
< 0.1%
1.6175822081
< 0.1%
1.6153015931
< 0.1%

range_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct618
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.8284716
Minimum0
Maximum349
Zeros309
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:35.592844image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.2
Q187.1
median127.05
Q3138.63
95-th percentile187.4
Maximum349
Range349
Interquartile range (IQR)51.53

Descriptive statistics

Standard deviation56.12794473
Coefficient of variation (CV)0.4723442452
Kurtosis3.646068509
Mean118.8284716
Median Absolute Deviation (MAD)13.95
Skewness0.8568946701
Sum2407821.32
Variance3150.346179
MonotonicityNot monotonic
2022-04-26T10:37:35.715394image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.053240
 
16.0%
138.632849
 
14.1%
135.972117
 
10.4%
1411670
 
8.2%
127.2344
 
1.7%
0309
 
1.5%
91265
 
1.3%
153.9223
 
1.1%
179.3216
 
1.1%
64.05211
 
1.0%
Other values (608)8819
43.5%
ValueCountFrequency (%)
0309
1.5%
0.616
 
0.1%
0.74
 
< 0.1%
0.95
 
< 0.1%
1.22
 
< 0.1%
ValueCountFrequency (%)
34916
 
0.1%
346.6354
0.3%
343.978
 
< 0.1%
34243
0.2%
335.051
 
< 0.1%

wtd_range_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct10439
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.57371347
Minimum0
Maximum218.6966
Zeros290
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:35.845050image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.95166667
Q134.43166667
median71.28504673
Q376.70551294
95-th percentile97.43383085
Maximum218.6966
Range218.6966
Interquartile range (IQR)42.27384627

Descriptive statistics

Standard deviation28.52833446
Coefficient of variation (CV)0.4788745371
Kurtosis0.8567443168
Mean59.57371347
Median Absolute Deviation (MAD)11.91747343
Skewness0.09073871016
Sum1207142.156
Variance813.8658671
MonotonicityNot monotonic
2022-04-26T10:37:35.954167image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0290
 
1.4%
74.35384615270
 
1.3%
75.742176
 
0.9%
81.28864286144
 
0.7%
80.325141
 
0.7%
46.97142857111
 
0.5%
76.43307692108
 
0.5%
73.9478
 
0.4%
29.4912569
 
0.3%
29.2566
 
0.3%
Other values (10429)18810
92.8%
ValueCountFrequency (%)
0290
1.4%
0.0666666671
 
< 0.1%
0.081
 
< 0.1%
0.0981
 
< 0.1%
0.1130434781
 
< 0.1%
ValueCountFrequency (%)
218.69661
< 0.1%
215.61
< 0.1%
215.4751
< 0.1%
211.5651
< 0.1%
210.8851
< 0.1%

std_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct2409
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.3207124
Minimum0
Maximum162.8953311
Zeros309
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:36.071854image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.8
Q138.65
median51.12571974
Q355.98732035
95-th percentile82.83084373
Maximum162.8953311
Range162.8953311
Interquartile range (IQR)17.33732035

Descriptive statistics

Standard deviation21.05563288
Coefficient of variation (CV)0.4357475674
Kurtosis2.6749228
Mean48.3207124
Median Absolute Deviation (MAD)6.5190233
Skewness0.5198235678
Sum979122.5954
Variance443.3396761
MonotonicityNot monotonic
2022-04-26T10:37:36.191567image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.83075523705
 
3.5%
51.12571974497
 
2.5%
54.37309692356
 
1.8%
57.64567252323
 
1.6%
50.1110407313
 
1.5%
0309
 
1.5%
57.64474304302
 
1.5%
47.36268151251
 
1.2%
53.23519794177
 
0.9%
40.64317286174
 
0.9%
Other values (2399)16856
83.2%
ValueCountFrequency (%)
0309
1.5%
0.316
 
0.1%
0.354
 
< 0.1%
0.455
 
< 0.1%
0.62
 
< 0.1%
ValueCountFrequency (%)
162.89533112
 
< 0.1%
155.68436792
 
< 0.1%
153.81418085
< 0.1%
148.72740913
< 0.1%
148.57361273
< 0.1%

wtd_std_ElectronAffinity
Real number (ℝ≥0)

ZEROS

Distinct12932
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.01663592
Minimum0
Maximum169.0758618
Zeros303
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:36.319227image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.573827975
Q133.42258052
median47.96296334
Q352.9255231
95-th percentile71.01408311
Maximum169.0758618
Range169.0758618
Interquartile range (IQR)19.50294258

Descriptive statistics

Standard deviation20.11006593
Coefficient of variation (CV)0.4568742138
Kurtosis3.313418057
Mean44.01663592
Median Absolute Deviation (MAD)7.56165428
Skewness0.4687601883
Sum891909.0936
Variance404.4147517
MonotonicityNot monotonic
2022-04-26T10:37:36.440867image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0303
 
1.5%
47.21664127267
 
1.3%
39.80774204169
 
0.8%
48.46082324133
 
0.7%
49.44571436110
 
0.5%
50.3437945883
 
0.4%
52.6707822783
 
0.4%
12.5865007159
 
0.3%
42.5578923553
 
0.3%
39.5424322846
 
0.2%
Other values (12922)18957
93.6%
ValueCountFrequency (%)
0303
1.5%
2.22 × 10-166
 
< 0.1%
0.0528965031
 
< 0.1%
0.08199591
 
< 0.1%
0.1004215471
 
< 0.1%
ValueCountFrequency (%)
169.07586181
< 0.1%
162.89533111
< 0.1%
158.9483711
< 0.1%
157.66302331
< 0.1%
156.87081532
< 0.1%

mean_FusionHeat
Real number (ℝ≥0)

Distinct2532
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.38048259
Minimum0.222
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:36.626371image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile6.0244
Q17.577
median9.3044
Q317.3625
95-th percentile38.72
Maximum105
Range104.778
Interquartile range (IQR)9.7855

Descriptive statistics

Standard deviation11.45177253
Coefficient of variation (CV)0.7963413226
Kurtosis8.861120757
Mean14.38048259
Median Absolute Deviation (MAD)2.492
Skewness2.503785254
Sum291391.7188
Variance131.143094
MonotonicityNot monotonic
2022-04-26T10:37:36.759016image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.1805720
 
3.6%
6.9055511
 
2.5%
8.1524323
 
1.6%
8.0144267
 
1.3%
7.9244254
 
1.3%
9.3044182
 
0.9%
7.8044179
 
0.9%
7.2324171
 
0.8%
5.903152
 
0.8%
6.8124151
 
0.7%
Other values (2522)17353
85.6%
ValueCountFrequency (%)
0.2221
 
< 0.1%
0.647
< 0.1%
1.0455
< 0.1%
1.4111
 
< 0.1%
1.732
 
< 0.1%
ValueCountFrequency (%)
10527
0.1%
77.62
 
< 0.1%
77.53
 
< 0.1%
70.533
0.2%
709
 
< 0.1%

wtd_mean_FusionHeat
Real number (ℝ≥0)

Distinct13550
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.8442244
Minimum0.222
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:36.883141image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile3.833201122
Q15.014923077
median8
Q318.53304166
95-th percentile41.302
Maximum105
Range104.778
Interquartile range (IQR)13.51811859

Descriptive statistics

Standard deviation14.48600729
Coefficient of variation (CV)1.046357446
Kurtosis10.40862526
Mean13.8442244
Median Absolute Deviation (MAD)3.629
Skewness2.752241949
Sum280525.519
Variance209.8444071
MonotonicityNot monotonic
2022-04-26T10:37:37.006274image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.250307692123
 
0.6%
4.954483
 
0.4%
3.83471428661
 
0.3%
9.56028571454
 
0.3%
5.438453
 
0.3%
9.0952552
 
0.3%
36.2333333347
 
0.2%
3.53018181843
 
0.2%
3.84685714342
 
0.2%
3.99257142932
 
0.2%
Other values (13540)19673
97.1%
ValueCountFrequency (%)
0.2221
 
< 0.1%
0.647
< 0.1%
1.0453
< 0.1%
1.3161
 
< 0.1%
1.3192
 
< 0.1%
ValueCountFrequency (%)
10527
0.1%
104.1751
 
< 0.1%
103.461
 
< 0.1%
102.4924391
 
< 0.1%
102.361
 
< 0.1%

gmean_FusionHeat
Real number (ℝ≥0)

Distinct2990
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.20111181
Minimum0.222
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:37.131940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile2.74782269
Q14.145388511
median5.188988187
Q313.69671493
95-th percentile30.46318231
Maximum105
Range104.778
Interquartile range (IQR)9.551326419

Descriptive statistics

Standard deviation10.18655711
Coefficient of variation (CV)0.9985732238
Kurtosis12.57565039
Mean10.20111181
Median Absolute Deviation (MAD)1.709513338
Skewness2.662888611
Sum206705.1287
Variance103.7659457
MonotonicityNot monotonic
2022-04-26T10:37:37.251620image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.035568999720
 
3.6%
3.479474849511
 
2.5%
4.646433492323
 
1.6%
4.549684585267
 
1.3%
4.492557454254
 
1.3%
5.160593357182
 
0.9%
4.411557372176
 
0.9%
4.16392152171
 
0.8%
2.701701941152
 
0.8%
3.839584976151
 
0.7%
Other values (2980)17356
85.7%
ValueCountFrequency (%)
0.2221
 
< 0.1%
0.647
< 0.1%
0.6961083072
 
< 0.1%
0.7597367971
 
< 0.1%
0.776711512
 
< 0.1%
ValueCountFrequency (%)
10527
0.1%
72.601652872
 
< 0.1%
72.456883733
 
< 0.1%
64.114216622
 
< 0.1%
61.481704633
0.2%

wtd_gmean_FusionHeat
Real number (ℝ≥0)

Distinct14082
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.12536351
Minimum0.222
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:37.370926image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.222
5-th percentile1.039211192
Q11.318837532
median4.818044973
Q316.43110604
95-th percentile33.31646403
Maximum105
Range104.778
Interquartile range (IQR)15.11226851

Descriptive statistics

Standard deviation13.30636893
Coefficient of variation (CV)1.314162096
Kurtosis9.416817525
Mean10.12536351
Median Absolute Deviation (MAD)3.595545911
Skewness2.484480118
Sum205170.2408
Variance177.059454
MonotonicityNot monotonic
2022-04-26T10:37:37.488216image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.33691978123
 
0.6%
1.32187528283
 
0.4%
1.03921119261
 
0.3%
6.22966261354
 
0.3%
1.38101878853
 
0.3%
6.2975743152
 
0.3%
27.9138508647
 
0.2%
1.05329884743
 
0.2%
1.04098598642
 
0.2%
1.06399095132
 
0.2%
Other values (14072)19673
97.1%
ValueCountFrequency (%)
0.2221
< 0.1%
0.4520402621
< 0.1%
0.4807992942
< 0.1%
0.491974421
< 0.1%
0.5212641421
< 0.1%
ValueCountFrequency (%)
10527
0.1%
103.83792711
 
< 0.1%
102.84120551
 
< 0.1%
101.32643731
 
< 0.1%
95.542260881
 
< 0.1%

entropy_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct2932
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.095300785
Minimum0
Maximum2.034410252
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:37.607898image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.454286636
Q10.819352444
median1.112098197
Q31.378821289
95-th percentile1.608457834
Maximum2.034410252
Range2.034410252
Interquartile range (IQR)0.559468845

Descriptive statistics

Standard deviation0.380784948
Coefficient of variation (CV)0.3476533143
Kurtosis-0.01378702447
Mean1.095300785
Median Absolute Deviation (MAD)0.268732104
Skewness-0.5827571062
Sum22194.0798
Variance0.1449971767
MonotonicityNot monotonic
2022-04-26T10:37:37.734560image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.112098197720
 
3.6%
1.088575342511
 
2.5%
1.392937492323
 
1.6%
0284
 
1.4%
1.384657053267
 
1.3%
1.380830301254
 
1.3%
1.390197361182
 
0.9%
1.374615052176
 
0.9%
1.378110416171
 
0.8%
0.963719782152
 
0.8%
Other values (2922)17223
85.0%
ValueCountFrequency (%)
0284
1.4%
0.0373350891
 
< 0.1%
0.0382180781
 
< 0.1%
0.04763042910
 
< 0.1%
0.0543543321
 
< 0.1%
ValueCountFrequency (%)
2.0344102524
< 0.1%
1.9235443561
 
< 0.1%
1.9204224684
< 0.1%
1.9198362326
< 0.1%
1.916187922
 
< 0.1%

wtd_entropy_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct14196
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9152880958
Minimum0
Maximum1.747164764
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:37.864309image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1777751157
Q10.6665484495
median0.99979359
Q31.165518397
95-th percentile1.458445633
Maximum1.747164764
Range1.747164764
Interquartile range (IQR)0.4989699475

Descriptive statistics

Standard deviation0.3750704065
Coefficient of variation (CV)0.4097839884
Kurtosis-0.2716899003
Mean0.9152880958
Median Absolute Deviation (MAD)0.230037123
Skewness-0.5708614518
Sum18546.48269
Variance0.1406778098
MonotonicityNot monotonic
2022-04-26T10:37:38.035320image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
1.042927359110
 
0.5%
1.39581372783
 
0.4%
0.96403104960
 
0.3%
0.27885923747
 
0.2%
0.97514833444
 
0.2%
1.3310892144
 
0.2%
1.1787737543
 
0.2%
0.99499819342
 
0.2%
0.96214867640
 
0.2%
Other values (14186)19466
96.1%
ValueCountFrequency (%)
0284
1.4%
2.81 × 10-51
 
< 0.1%
0.0001426331
 
< 0.1%
0.000349381
 
< 0.1%
0.0004492971
 
< 0.1%
ValueCountFrequency (%)
1.7471647641
< 0.1%
1.7451051381
< 0.1%
1.7428659011
< 0.1%
1.7419686071
< 0.1%
1.7374214341
< 0.1%

range_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct581
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.15768277
Minimum0
Maximum104.778
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:38.167621image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.04
Q112.878
median12.878
Q322.578
95-th percentile87.8
Maximum104.778
Range104.778
Interquartile range (IQR)9.7

Descriptive statistics

Standard deviation20.72521761
Coefficient of variation (CV)0.9795598997
Kurtosis7.261459381
Mean21.15768277
Median Absolute Deviation (MAD)3.178
Skewness2.721338711
Sum428718.126
Variance429.5346451
MonotonicityNot monotonic
2022-04-26T10:37:38.286019image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.8787787
38.4%
27.478454
 
2.2%
13.578420
 
2.1%
16.978363
 
1.8%
15.978359
 
1.8%
0284
 
1.4%
19.7243
 
1.2%
10.678234
 
1.2%
34.27226
 
1.1%
25.478206
 
1.0%
Other values (571)9687
47.8%
ValueCountFrequency (%)
0284
1.4%
0.044
 
< 0.1%
0.211
 
0.1%
0.314
 
0.1%
0.312
 
< 0.1%
ValueCountFrequency (%)
104.778161
0.8%
104.6446
 
0.2%
104.44210
 
< 0.1%
103.279
 
< 0.1%
102.9127
 
0.1%

wtd_range_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct9215
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.211172497
Minimum0
Maximum102.675
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:38.404399image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.542857143
Q12.298325153
median3.374933333
Q310.47333333
95-th percentile26.33684211
Maximum102.675
Range102.675
Interquartile range (IQR)8.175008181

Descriptive statistics

Standard deviation11.57015291
Coefficient of variation (CV)1.409074394
Kurtosis25.02846335
Mean8.211172497
Median Absolute Deviation (MAD)1.692995238
Skewness4.214457596
Sum166382.9883
Variance133.8684384
MonotonicityNot monotonic
2022-04-26T10:37:38.526859image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.903538462500
 
2.5%
1.744571429489
 
2.4%
5.582571429365
 
1.8%
1.628266667304
 
1.5%
0284
 
1.4%
3.24725217
 
1.1%
3.374933333122
 
0.6%
1.895846154116
 
0.6%
6.8695102
 
0.5%
2.046892
 
0.5%
Other values (9205)17672
87.2%
ValueCountFrequency (%)
0284
1.4%
0.0051
 
< 0.1%
0.0333333331
 
< 0.1%
0.0482
 
< 0.1%
0.051
 
< 0.1%
ValueCountFrequency (%)
102.6751
< 0.1%
102.38560981
< 0.1%
101.60709681
< 0.1%
101.54225811
< 0.1%
100.661
< 0.1%

std_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct2747
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.327961794
Minimum0
Maximum51.635
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:38.650082image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.52
Q14.252419246
median4.948155288
Q38.978690049
95-th percentile34.89807381
Maximum51.635
Range51.635
Interquartile range (IQR)4.726270803

Descriptive statistics

Standard deviation8.821923866
Coefficient of variation (CV)1.059313681
Kurtosis7.796552818
Mean8.327961794
Median Absolute Deviation (MAD)1.094053354
Skewness2.792095083
Sum168749.4898
Variance77.82634069
MonotonicityNot monotonic
2022-04-26T10:37:38.782493image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.948155288720
 
3.6%
4.599064117511
 
2.5%
4.361026375323
 
1.6%
0284
 
1.4%
4.438214668267
 
1.3%
4.455304865254
 
1.3%
4.963869201182
 
0.9%
4.489231275176
 
0.9%
4.165161106171
 
0.8%
5.037900059152
 
0.8%
Other values (2737)17223
85.0%
ValueCountFrequency (%)
0284
1.4%
0.024
 
< 0.1%
0.111
 
0.1%
0.1514
 
0.1%
0.1552
 
< 0.1%
ValueCountFrequency (%)
51.6353
 
< 0.1%
51.4556
 
< 0.1%
51.40523
0.1%
51.33522
0.1%
51.22
 
< 0.1%

wtd_std_FusionHeat
Real number (ℝ≥0)

ZEROS

Distinct13783
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.711629034
Minimum0
Maximum51.68048232
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:38.905245image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.131507769
Q14.60122577
median5.473713829
Q37.841430974
95-th percentile23.47766376
Maximum51.68048232
Range51.68048232
Interquartile range (IQR)3.240205204

Descriptive statistics

Standard deviation7.410335968
Coefficient of variation (CV)0.9609300363
Kurtosis8.845132454
Mean7.711629034
Median Absolute Deviation (MAD)1.171311785
Skewness2.834089009
Sum156260.7391
Variance54.91307915
MonotonicityNot monotonic
2022-04-26T10:37:39.024961image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
5.648556567123
 
0.6%
5.2534095783
 
0.4%
4.65830135261
 
0.3%
4.35965010854
 
0.3%
5.78014621353
 
0.3%
3.87350460752
 
0.3%
19.4690067147
 
0.2%
4.24372995943
 
0.2%
4.66691955442
 
0.2%
Other values (13773)19421
95.8%
ValueCountFrequency (%)
0284
1.4%
0.0125707871
 
< 0.1%
0.0161
 
< 0.1%
0.0173205081
 
< 0.1%
0.0188561811
 
< 0.1%
ValueCountFrequency (%)
51.680482321
< 0.1%
51.664220721
< 0.1%
51.6351
< 0.1%
51.621406161
< 0.1%
51.513922252
< 0.1%

mean_ThermalConductivity
Real number (ℝ≥0)

Distinct1878
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.52626483
Minimum0.02658
Maximum332.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:39.143031image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.02658
5-th percentile27.50666667
Q164
median98.71808286
Q3111.4695068
95-th percentile144.5
Maximum332.5
Range332.47342
Interquartile range (IQR)47.4695068

Descriptive statistics

Standard deviation37.48778931
Coefficient of variation (CV)0.4095850451
Kurtosis1.695322684
Mean91.52626483
Median Absolute Deviation (MAD)17.78191714
Skewness0.2508125236
Sum1854596.704
Variance1405.334347
MonotonicityNot monotonic
2022-04-26T10:37:39.263353image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.756645838
 
4.1%
89.605316488
 
2.4%
112.006645365
 
1.8%
128.605316323
 
1.6%
111.005316277
 
1.4%
107.756645246
 
1.2%
102.805316175
 
0.9%
108.00443164
 
0.8%
127.005316161
 
0.8%
126.205316160
 
0.8%
Other values (1868)17066
84.2%
ValueCountFrequency (%)
0.026581
 
< 0.1%
0.1154155
< 0.1%
0.121
 
< 0.1%
0.2052
 
< 0.1%
0.2367
< 0.1%
ValueCountFrequency (%)
332.58
< 0.1%
317.53
 
< 0.1%
2953
 
< 0.1%
277.56
< 0.1%
2754
< 0.1%

wtd_mean_ThermalConductivity
Real number (ℝ≥0)

Distinct12569
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.01877539
Minimum0.02658
Maximum406.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:39.450739image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.02658
5-th percentile22.8275
Q155.56031
median75.32032222
Q399.49013797
95-th percentile176.86094
Maximum406.96
Range406.93342
Interquartile range (IQR)43.92982797

Descriptive statistics

Standard deviation45.21759979
Coefficient of variation (CV)0.54466715
Kurtosis4.278949238
Mean83.01877539
Median Absolute Deviation (MAD)22.60737988
Skewness1.422938677
Sum1682209.446
Variance2044.631331
MonotonicityNot monotonic
2022-04-26T10:37:39.569631image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.39892769143
 
0.7%
72.41417684
 
0.4%
71.3333333379
 
0.4%
61.3437666
 
0.3%
65.3333333355
 
0.3%
179.003797154
 
0.3%
60.8294742947
 
0.2%
114.736842145
 
0.2%
110.21417645
 
0.2%
135.753322544
 
0.2%
Other values (12559)19601
96.7%
ValueCountFrequency (%)
0.026581
 
< 0.1%
0.1154153
< 0.1%
0.121
 
< 0.1%
0.1512492
< 0.1%
0.2052
< 0.1%
ValueCountFrequency (%)
406.961
< 0.1%
389.91
< 0.1%
384.65116281
< 0.1%
383.311
< 0.1%
379.8751
< 0.1%

gmean_ThermalConductivity
Real number (ℝ≥0)

Distinct2586
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.00880911
Minimum0.02658
Maximum317.8836265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:39.703276image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.02658
5-th percentile3.833340384
Q18.418911599
median14.36836958
Q341.49005423
95-th percentile100.504121
Maximum317.8836265
Range317.8570465
Interquartile range (IQR)33.07114263

Descriptive statistics

Standard deviation34.22003623
Coefficient of variation (CV)1.14033303
Kurtosis7.83880952
Mean30.00880911
Median Absolute Deviation (MAD)7.186502917
Skewness2.360666336
Sum608068.499
Variance1171.010879
MonotonicityNot monotonic
2022-04-26T10:37:39.821958image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.55238461838
 
4.1%
8.418911599488
 
2.4%
8.339818346365
 
1.8%
14.28764329323
 
1.6%
13.13117315277
 
1.4%
7.06248773246
 
1.2%
12.07793525175
 
0.9%
14.27419495164
 
0.8%
14.54364543161
 
0.8%
13.7839016160
 
0.8%
Other values (2576)17066
84.2%
ValueCountFrequency (%)
0.026581
 
< 0.1%
0.0727677815
< 0.1%
0.121
 
< 0.1%
0.1742130767
< 0.1%
0.2052
 
< 0.1%
ValueCountFrequency (%)
317.88362658
< 0.1%
306.59419433
 
< 0.1%
275.6809753
 
< 0.1%
274.2261846
< 0.1%
252.98221281
 
< 0.1%

wtd_gmean_ThermalConductivity
Real number (ℝ≥0)

Distinct13503
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.20489679
Minimum0.022951557
Maximum376.0328776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:39.945776image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.022951557
5-th percentile0.619612958
Q11.085790998
median6.081320832
Q346.63059394
95-th percentile105.688542
Maximum376.0328776
Range376.009926
Interquartile range (IQR)45.54480294

Descriptive statistics

Standard deviation40.36491643
Coefficient of variation (CV)1.483737164
Kurtosis10.4539094
Mean27.20489679
Median Absolute Deviation (MAD)5.461073837
Skewness2.626114195
Sum551252.8237
Variance1629.326478
MonotonicityNot monotonic
2022-04-26T10:37:40.060722image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.096295409143
 
0.7%
0.96915607884
 
0.4%
0.62944102365
 
0.3%
26.5786364954
 
0.3%
48.859517147
 
0.2%
0.61402128946
 
0.2%
1.26778297145
 
0.2%
83.2356440345
 
0.2%
22.5425284944
 
0.2%
48.8101027544
 
0.2%
Other values (13493)19646
97.0%
ValueCountFrequency (%)
0.0229515571
 
< 0.1%
0.026581
 
< 0.1%
0.0449493731
 
< 0.1%
0.0727677813
< 0.1%
0.1101197012
< 0.1%
ValueCountFrequency (%)
376.03287761
< 0.1%
373.63285791
< 0.1%
358.71395941
< 0.1%
351.63254021
< 0.1%
348.67785762
< 0.1%

entropy_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct2556
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7211144103
Minimum0
Maximum1.633977185
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:40.191375image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.194158291
Q10.457810242
median0.726650774
Q30.952020166
95-th percentile1.242817413
Maximum1.633977185
Range1.633977185
Interquartile range (IQR)0.494209924

Descriptive statistics

Standard deviation0.3245410494
Coefficient of variation (CV)0.4500548662
Kurtosis-0.6216648238
Mean0.7211144103
Median Absolute Deviation (MAD)0.244819147
Skewness-0.09676352056
Sum14611.94129
Variance0.1053268928
MonotonicityNot monotonic
2022-04-26T10:37:40.309273image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.336261916838
 
4.1%
0.457810242488
 
2.4%
0.403693221365
 
1.8%
0.871976277323
 
1.6%
0284
 
1.4%
0.785623847277
 
1.4%
0.30814799246
 
1.2%
0.713636562175
 
0.9%
0.934516138164
 
0.8%
0.853359245161
 
0.8%
Other values (2546)16942
83.6%
ValueCountFrequency (%)
0284
1.4%
0.0006860231
 
< 0.1%
0.0011117611
 
< 0.1%
0.0013046732
 
< 0.1%
0.001346781
 
< 0.1%
ValueCountFrequency (%)
1.6339771851
 
< 0.1%
1.6299953461
 
< 0.1%
1.6234838663
< 0.1%
1.6036150264
< 0.1%
1.6014912234
< 0.1%

wtd_entropy_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct13598
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5286810048
Minimum0
Maximum1.612988513
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:40.439965image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0996616931
Q10.246027558
median0.524653496
Q30.7692661335
95-th percentile1.089470039
Maximum1.612988513
Range1.612988513
Interquartile range (IQR)0.5232385755

Descriptive statistics

Standard deviation0.3139940928
Coefficient of variation (CV)0.5939197549
Kurtosis-0.796308806
Mean0.5286810048
Median Absolute Deviation (MAD)0.260934123
Skewness0.3519775889
Sum10712.6632
Variance0.09859229031
MonotonicityNot monotonic
2022-04-26T10:37:40.561637image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
0.203148214143
 
0.7%
0.77732283383
 
0.4%
0.20196612654
 
0.3%
0.28341211753
 
0.3%
0.56488746947
 
0.2%
0.24463904745
 
0.2%
0.1632190445
 
0.2%
0.77587274244
 
0.2%
0.70042833843
 
0.2%
Other values (13588)19422
95.8%
ValueCountFrequency (%)
0284
1.4%
2 × 10-61
 
< 0.1%
1.04 × 10-51
 
< 0.1%
2.08 × 10-51
 
< 0.1%
3.79 × 10-51
 
< 0.1%
ValueCountFrequency (%)
1.6129885131
< 0.1%
1.5842188441
< 0.1%
1.5707051261
< 0.1%
1.5599393831
< 0.1%
1.5455139442
< 0.1%

range_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct431
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257.9392835
Minimum0
Maximum429.97417
Zeros300
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:40.703512image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.795
Q196
median399.97342
Q3399.97342
95-th percentile399.97342
Maximum429.97417
Range429.97417
Interquartile range (IQR)303.97342

Descriptive statistics

Standard deviation157.8752646
Coefficient of variation (CV)0.6120636706
Kurtosis-1.713776851
Mean257.9392835
Median Absolute Deviation (MAD)0
Skewness-0.3191918221
Sum5226623.701
Variance24924.59918
MonotonicityNot monotonic
2022-04-26T10:37:40.871066image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
399.9734210332
51.0%
133302
 
1.5%
78.97342300
 
1.5%
0300
 
1.5%
99.97342227
 
1.1%
82191
 
0.9%
181182
 
0.9%
134171
 
0.8%
78.48164
 
0.8%
123143
 
0.7%
Other values (421)7951
39.2%
ValueCountFrequency (%)
0300
1.5%
0.179175
 
< 0.1%
141
 
0.2%
276
 
0.4%
364
 
0.3%
ValueCountFrequency (%)
429.974174
 
< 0.1%
429.9734252
0.3%
429.97231
 
< 0.1%
429.81951
 
< 0.1%
429.7959
 
< 0.1%

wtd_range_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct7538
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.48890983
Minimum0
Maximum401.44
Zeros291
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:40.989749image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.984052
Q130.54
median57.02571429
Q392.29338
95-th percentile147.9581564
Maximum401.44
Range401.44
Interquartile range (IQR)61.75338

Descriptive statistics

Standard deviation43.08875821
Coefficient of variation (CV)0.6786816521
Kurtosis4.478464767
Mean63.48890983
Median Absolute Deviation (MAD)30.64095238
Skewness1.408718087
Sum1286475.78
Variance1856.641084
MonotonicityNot monotonic
2022-04-26T10:37:41.111093image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.12766857985
 
4.9%
92.29338726
 
3.6%
53.31915733430
 
2.1%
171.4247743371
 
1.8%
0291
 
1.4%
99.9966775222
 
1.1%
106.6524907219
 
1.1%
36.34913818149
 
0.7%
61.52414923146
 
0.7%
74.9867196
 
0.5%
Other values (7528)16628
82.1%
ValueCountFrequency (%)
0291
1.4%
0.051
 
< 0.1%
0.0895853
 
< 0.1%
0.11
 
< 0.1%
0.1357512
 
< 0.1%
ValueCountFrequency (%)
401.441
< 0.1%
384.11
< 0.1%
377.791
< 0.1%
376.84958351
< 0.1%
372.6251
< 0.1%

std_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct2343
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.6695697
Minimum0
Maximum214.98615
Zeros300
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:41.239786image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.5
Q140.87650779
median138.3654782
Q3154.0080285
95-th percentile168.8542438
Maximum214.98615
Range214.98615
Interquartile range (IQR)113.1315207

Descriptive statistics

Standard deviation59.68856052
Coefficient of variation (CV)0.5870838317
Kurtosis-1.589839476
Mean101.6695697
Median Absolute Deviation (MAD)30.4887656
Skewness-0.3117964683
Sum2060130.49
Variance3562.724257
MonotonicityNot monotonic
2022-04-26T10:37:41.351257image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168.3010468838
 
4.1%
155.3296092488
 
2.4%
166.7423511365
 
1.8%
154.0080285323
 
1.6%
0300
 
1.5%
150.6001991277
 
1.4%
168.8542438246
 
1.2%
151.0028713175
 
0.9%
147.6438617164
 
0.8%
154.8943183161
 
0.8%
Other values (2333)16926
83.5%
ValueCountFrequency (%)
0300
1.5%
0.0895855
 
< 0.1%
0.541
 
0.2%
176
 
0.4%
1.564
 
0.3%
ValueCountFrequency (%)
214.986151
 
< 0.1%
214.77551
 
< 0.1%
213.51
 
< 0.1%
2113
< 0.1%
210.851
 
< 0.1%

wtd_std_ThermalConductivity
Real number (ℝ≥0)

ZEROS

Distinct13156
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.03632831
Minimum0
Maximum213.300452
Zeros299
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:41.468945image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5
Q133.77499075
median127.9688676
Q3163.4295594
95-th percentile174.8739472
Maximum213.300452
Range213.300452
Interquartile range (IQR)129.6545687

Descriptive statistics

Standard deviation63.46790776
Coefficient of variation (CV)0.640854814
Kurtosis-1.62662889
Mean99.03632831
Median Absolute Deviation (MAD)46.9806731
Skewness-0.1669275931
Sum2006773.121
Variance4028.175316
MonotonicityNot monotonic
2022-04-26T10:37:41.576287image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0299
 
1.5%
166.4403826143
 
0.7%
137.57926584
 
0.4%
138.43771465
 
0.3%
191.475654954
 
0.3%
62.6968012750
 
0.2%
138.579130746
 
0.2%
59.0065492445
 
0.2%
174.877011445
 
0.2%
45.2130757944
 
0.2%
Other values (13146)19388
95.7%
ValueCountFrequency (%)
0299
1.5%
1.78 × 10-151
 
< 0.1%
0.0528408931
 
< 0.1%
0.0528965031
 
< 0.1%
0.0582103081
 
< 0.1%
ValueCountFrequency (%)
213.3004521
< 0.1%
2111
< 0.1%
209.60427372
< 0.1%
209.22270561
< 0.1%
209.07593472
< 0.1%

mean_Valence
Real number (ℝ≥0)

Distinct63
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1754667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:41.697082image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.166666667
Q12.333333333
median2.8
Q34
95-th percentile5.333333333
Maximum7
Range6
Interquartile range (IQR)1.666666667

Descriptive statistics

Standard deviation1.049027431
Coefficient of variation (CV)0.3303537811
Kurtosis0.2047412319
Mean3.1754667
Median Absolute Deviation (MAD)0.55
Skewness1.042695137
Sum64344.48175
Variance1.100458551
MonotonicityNot monotonic
2022-04-26T10:37:41.812810image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.251895
 
9.4%
31750
 
8.6%
2.21587
 
7.8%
41316
 
6.5%
2.61245
 
6.1%
2.4964
 
4.8%
2.5943
 
4.7%
5942
 
4.6%
2795
 
3.9%
4.5785
 
3.9%
Other values (53)8041
39.7%
ValueCountFrequency (%)
18
< 0.1%
1.252
 
< 0.1%
1.3333333331
 
< 0.1%
1.513
0.1%
1.6666666673
 
< 0.1%
ValueCountFrequency (%)
77
 
< 0.1%
6.5100
 
0.5%
6.33333333322
 
0.1%
6345
1.7%
5.753
 
< 0.1%

wtd_mean_Valence
Real number (ℝ≥0)

Distinct5503
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.115813432
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:41.938439image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.055555556
Q12.111538462
median2.550561798
Q34
95-th percentile5.5
Maximum7
Range6
Interquartile range (IQR)1.888461538

Descriptive statistics

Standard deviation1.192318772
Coefficient of variation (CV)0.3826669337
Kurtosis-0.2265460082
Mean3.115813432
Median Absolute Deviation (MAD)0.473638721
Skewness0.9621803908
Sum63135.72757
Variance1.421624054
MonotonicityNot monotonic
2022-04-26T10:37:42.050740image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.076923077616
 
3.0%
2455
 
2.2%
3399
 
2.0%
5342
 
1.7%
4.5316
 
1.6%
6312
 
1.5%
4310
 
1.5%
2.142857143266
 
1.3%
2.833333333248
 
1.2%
2.264285714224
 
1.1%
Other values (5493)16775
82.8%
ValueCountFrequency (%)
18
< 0.1%
1.11
 
< 0.1%
1.121
 
< 0.1%
1.21
 
< 0.1%
1.251
 
< 0.1%
ValueCountFrequency (%)
77
< 0.1%
6.99941
 
< 0.1%
6.99931
 
< 0.1%
6.9992
 
< 0.1%
6.9981
 
< 0.1%

gmean_Valence
Real number (ℝ≥0)

Distinct237
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.040826871
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:42.227274image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.213363839
median2.605171085
Q33.662841501
95-th percentile5.241482788
Maximum7
Range6
Interquartile range (IQR)1.449477662

Descriptive statistics

Standard deviation1.050185855
Coefficient of variation (CV)0.3453619357
Kurtosis0.5522204448
Mean3.040826871
Median Absolute Deviation (MAD)0.394828915
Skewness1.192724425
Sum61616.27489
Variance1.102890329
MonotonicityNot monotonic
2022-04-26T10:37:42.334289image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2133638391881
 
9.3%
2.1689435421565
 
7.7%
2.491461879927
 
4.6%
2.352158045854
 
4.2%
2597
 
2.9%
2.289428485560
 
2.8%
2.40187391481
 
2.4%
4.472135955469
 
2.3%
3.914867641413
 
2.0%
2.402248868386
 
1.9%
Other values (227)12130
59.9%
ValueCountFrequency (%)
18
< 0.1%
1.1892071152
 
< 0.1%
1.259921051
 
< 0.1%
1.41421356217
0.1%
1.565084584
 
< 0.1%
ValueCountFrequency (%)
77
 
< 0.1%
6.480740698100
 
0.5%
6.31635959822
 
0.1%
6299
1.5%
5.9439219533
 
< 0.1%

wtd_gmean_Valence
Real number (ℝ≥0)

Distinct7721
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.025329091
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:42.464941image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.039009766
Q12.08631948
median2.370679744
Q33.888833809
95-th percentile5.421612022
Maximum7
Range6
Interquartile range (IQR)1.80251433

Descriptive statistics

Standard deviation1.17830285
Coefficient of variation (CV)0.3894792317
Kurtosis0.01318305488
Mean3.025329091
Median Absolute Deviation (MAD)0.315880426
Skewness1.070443544
Sum61302.24336
Variance1.388397606
MonotonicityNot monotonic
2022-04-26T10:37:42.571656image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.063362233588
 
2.9%
2445
 
2.2%
6299
 
1.5%
2.119268045253
 
1.2%
3250
 
1.2%
2.749459274233
 
1.1%
2.226221639205
 
1.0%
2.054799318202
 
1.0%
4189
 
0.9%
5180
 
0.9%
Other values (7711)17419
86.0%
ValueCountFrequency (%)
18
< 0.1%
1.0681377771
 
< 0.1%
1.0717734631
 
< 0.1%
1.1161231741
 
< 0.1%
1.147202691
 
< 0.1%
ValueCountFrequency (%)
77
< 0.1%
6.9993525971
 
< 0.1%
6.9992447021
 
< 0.1%
6.9989210282
 
< 0.1%
6.9978422231
 
< 0.1%

entropy_Valence
Real number (ℝ≥0)

ZEROS

Distinct306
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.295717154
Minimum0
Maximum2.141963332
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:42.699742image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.661563238
Q11.060856947
median1.368922361
Q31.589026915
95-th percentile1.778233306
Maximum2.141963332
Range2.141963332
Interquartile range (IQR)0.528169968

Descriptive statistics

Standard deviation0.3979536639
Coefficient of variation (CV)0.307130042
Kurtosis0.1206244942
Mean1.295717154
Median Absolute Deviation (MAD)0.275547643
Skewness-0.7751708256
Sum26255.11669
Variance0.1583671186
MonotonicityNot monotonic
2022-04-26T10:37:42.815469image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3689223611878
 
9.3%
1.5941666991555
 
7.7%
1.56495725881
 
4.3%
1.589026915854
 
4.2%
0.693147181590
 
2.9%
0.673011667496
 
2.4%
0.686961577466
 
2.3%
1.748970751454
 
2.2%
1.772139388386
 
1.9%
1.077556327367
 
1.8%
Other values (296)12336
60.9%
ValueCountFrequency (%)
0284
1.4%
0.3767701612
 
< 0.1%
0.4101163181
 
< 0.1%
0.45056120921
 
0.1%
0.50040242485
 
0.4%
ValueCountFrequency (%)
2.1419633324
 
< 0.1%
2.09985614310
< 0.1%
2.0592293797
< 0.1%
2.0467385333
 
< 0.1%
2.0423161246
< 0.1%

wtd_entropy_Valence
Real number (ℝ≥0)

ZEROS

Distinct10259
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.051822759
Minimum0
Maximum1.949738623
Zeros284
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:42.939357image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.325082973
Q10.762285578
median1.179587235
Q31.332244922
95-th percentile1.531432718
Maximum1.949738623
Range1.949738623
Interquartile range (IQR)0.569959344

Descriptive statistics

Standard deviation0.3846147618
Coefficient of variation (CV)0.365664993
Kurtosis0.01638351872
Mean1.051822759
Median Absolute Deviation (MAD)0.213290766
Skewness-0.7324702691
Sum21313.08456
Variance0.147928515
MonotonicityNot monotonic
2022-04-26T10:37:43.063025image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0284
 
1.4%
1.201823024253
 
1.2%
0.562335145214
 
1.1%
0.636514168142
 
0.7%
1.309525835113
 
0.6%
0.500402424107
 
0.5%
0.673011667104
 
0.5%
0.51465316589
 
0.4%
0.68696157789
 
0.4%
0.60579749988
 
0.4%
Other values (10249)18780
92.7%
ValueCountFrequency (%)
0284
1.4%
0.0004450811
 
< 0.1%
0.0005944781
 
< 0.1%
0.000707741
 
< 0.1%
0.0009842351
 
< 0.1%
ValueCountFrequency (%)
1.9497386231
< 0.1%
1.9350297421
< 0.1%
1.9273446931
< 0.1%
1.9273263351
< 0.1%
1.9249872981
< 0.1%

range_Valence
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.983121946
Minimum0
Maximum6
Zeros1373
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:43.175724image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.209604975
Coefficient of variation (CV)0.609949871
Kurtosis-0.4637694039
Mean1.983121946
Median Absolute Deviation (MAD)1
Skewness0.4951715213
Sum40184
Variance1.463144196
MonotonicityNot monotonic
2022-04-26T10:37:43.252518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
17278
35.9%
24996
24.7%
34079
20.1%
42013
 
9.9%
01373
 
6.8%
5519
 
2.6%
65
 
< 0.1%
ValueCountFrequency (%)
01373
 
6.8%
17278
35.9%
24996
24.7%
34079
20.1%
42013
 
9.9%
ValueCountFrequency (%)
65
 
< 0.1%
5519
 
2.6%
42013
9.9%
34079
20.1%
24996
24.7%

wtd_range_Valence
Real number (ℝ≥0)

ZEROS

Distinct5636
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.466370117
Minimum0
Maximum6.9922
Zeros375
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:43.359750image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q10.913043478
median1.058823529
Q31.857142857
95-th percentile3.6
Maximum6.9922
Range6.9922
Interquartile range (IQR)0.944099379

Descriptive statistics

Standard deviation0.9838324378
Coefficient of variation (CV)0.6709305013
Kurtosis2.585106294
Mean1.466370117
Median Absolute Deviation (MAD)0.233911661
Skewness1.602196441
Sum29713.05768
Variance0.9679262656
MonotonicityNot monotonic
2022-04-26T10:37:43.535070image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1475
 
2.3%
0375
 
1.9%
0.5290
 
1.4%
0.846153846259
 
1.3%
0.8199
 
1.0%
3197
 
1.0%
1.1178
 
0.9%
0.571428571174
 
0.9%
1.5158
 
0.8%
0.75153
 
0.8%
Other values (5626)17805
87.9%
ValueCountFrequency (%)
0375
1.9%
2.22 × 10-162
 
< 0.1%
4.44 × 10-162
 
< 0.1%
0.0245398771
 
< 0.1%
0.0251
 
< 0.1%
ValueCountFrequency (%)
6.99221
< 0.1%
6.99091
< 0.1%
6.9872
< 0.1%
6.9741
< 0.1%
6.9222
< 0.1%

std_Valence
Real number (ℝ≥0)

ZEROS

Distinct124
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8194003594
Minimum0
Maximum3
Zeros1373
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:43.657759image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.433012702
median0.8
Q31.166190379
95-th percentile1.632993162
Maximum3
Range3
Interquartile range (IQR)0.733177677

Descriptive statistics

Standard deviation0.4765078166
Coefficient of variation (CV)0.5815323499
Kurtosis-0.1962358229
Mean0.8194003594
Median Absolute Deviation (MAD)0.366987298
Skewness0.4839630177
Sum16603.50948
Variance0.2270596993
MonotonicityNot monotonic
2022-04-26T10:37:43.780460image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4330127021917
 
9.5%
0.41612
 
8.0%
01373
 
6.8%
0.51368
 
6.8%
0.4714045211139
 
5.6%
1987
 
4.9%
0.8940
 
4.6%
0.489897949854
 
4.2%
0.816496581790
 
3.9%
1.247219129677
 
3.3%
Other values (114)8606
42.5%
ValueCountFrequency (%)
01373
6.8%
0.34992710626
 
0.1%
0.372677996276
 
1.4%
0.41612
8.0%
0.4330127021917
9.5%
ValueCountFrequency (%)
32
 
< 0.1%
2.6246692911
 
< 0.1%
2.511
 
0.1%
2.35702260428
0.1%
2.1650635092
 
< 0.1%

wtd_std_Valence
Real number (ℝ≥0)

ZEROS

Distinct6753
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6508264499
Minimum0
Maximum3
Zeros1244
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:43.913257image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median0.489897949
Q31
95-th percentile1.469693846
Maximum3
Range3
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.4423247086
Coefficient of variation (CV)0.6796354216
Kurtosis-0.2259316607
Mean0.6508264499
Median Absolute Deviation (MAD)0.228053503
Skewness0.7007615916
Sum13187.69635
Variance0.1956511479
MonotonicityNot monotonic
2022-04-26T10:37:44.030104image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01244
 
6.1%
0.266469355596
 
2.9%
0.433012702412
 
2.0%
0.349927106266
 
1.3%
0.471404521260
 
1.3%
0.687184271241
 
1.2%
0.440952124208
 
1.0%
0.249443826204
 
1.0%
0.5199
 
1.0%
1.299038106151
 
0.7%
Other values (6743)16482
81.3%
ValueCountFrequency (%)
01244
6.1%
2.22 × 10-1637
 
0.2%
4.44 × 10-1657
 
0.3%
8.88 × 10-1635
 
0.2%
0.0141417821
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
2.8284271251
 
< 0.1%
2.2669117518
< 0.1%
2.2125902371
 
< 0.1%
2.1771438991
 
< 0.1%

critical_temp
Real number (ℝ≥0)

Distinct2954
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.39559623
Minimum0.00021
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size158.4 KiB
2022-04-26T10:37:44.154975image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0.00021
5-th percentile1.07
Q15.8
median21
Q365.5
95-th percentile94.5
Maximum143
Range142.99979
Interquartile range (IQR)59.7

Descriptive statistics

Standard deviation34.54549363
Coefficient of variation (CV)0.9759828144
Kurtosis-0.6473362968
Mean35.39559623
Median Absolute Deviation (MAD)18.02
Skewness0.80573985
Sum717220.9665
Variance1193.39113
MonotonicityNot monotonic
2022-04-26T10:37:44.266679image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80142
 
0.7%
90122
 
0.6%
20122
 
0.6%
30121
 
0.6%
40105
 
0.5%
92101
 
0.5%
3598
 
0.5%
3295
 
0.5%
1595
 
0.5%
7094
 
0.5%
Other values (2944)19168
94.6%
ValueCountFrequency (%)
0.000211
< 0.1%
0.0003251
< 0.1%
0.00041
< 0.1%
0.00051
< 0.1%
0.000621
< 0.1%
ValueCountFrequency (%)
1432
< 0.1%
137.41
< 0.1%
1362
< 0.1%
135.81
< 0.1%
135.71
< 0.1%